tutorial_experiment.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "view-in-github"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/kircherlab/MPRAsnakeflow_tutorial/blob/main/tutorial_experiment.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "NsBG7lOCPnnE",
        "outputId": "6da1caeb-905a-42f8-843a-54409a379c0f"
      },
      "outputs": [],
      "source": [
        "%%capture\n",
        "import matplotlib.pyplot as plt\n",
        "import os\n",
        "import cv2"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "BOSJecyQPnnC"
      },
      "source": [
        "# MPRAsnakeflow experiment tutorial\n",
        "\n",
        "This notebook is used to generate activity measurements from DNA, barcode counts. The input file of the assignment workflow is needed to associate the barcodes to designed oligos.\n",
        "\n",
        "After going through the pre-requirements we will cover the config file, run MPRAsnakeflow and look at interesting results like the correlation of the DNA and RNA counts among the replicates. This is useful in practice to check if the data preparation went well, because if the resulting data is not correlating between replicates, problems during the experiment will introduce a bias in the results of our analysis that we would like to know about."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "uAAYJQqv9zIk"
      },
      "source": [
        "## Pre-requirements"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "dOsEkOFu-MbM"
      },
      "source": [
        "### Docker/uDocker/apptainer\n",
        "\n",
        "When running locally you need to install `docker` or `apptainer`. For running it remotly on google colab `udocker` in colab from github.com/drengskapur/docker-in-colab works nicely.\n",
        "\n",
        "We try to atomatically find out what you need:"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Apptainer is installed! We will use Apptainer to run MPRAsnakeflow\n"
          ]
        }
      ],
      "source": [
        "tutorial_container = \"visze/mprasnakeflow_tutorial:0.1.0\"\n",
        "docker= False\n",
        "apptainer = False\n",
        "\n",
        "docker = !docker --help &>/dev/null; if [ $? -eq 0 ]; then echo 1; else echo 0; fi\n",
        "docker = bool(int(docker[0]))\n",
        "apptainer = !apptainer --help &>/dev/null; if [ $? -eq 0 ]; then echo 1; else echo 0; fi\n",
        "apptainer = bool(int(apptainer[0]))\n",
        "\n",
        "if docker:\n",
        "    print(\"Docker is installed! We will use Docker to run MPRAsnakeflow\")\n",
        "elif apptainer:\n",
        "    print(\"Apptainer is installed! We will use Apptainer to run MPRAsnakeflow\")\n",
        "else:\n",
        "    print(\"Neither Docker nor Apptainer is installed. We assume you run the tutorial on colab and we will install uDocker for colab\")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "When neither Docker nor Apptainer is installed we will install udocjer for colab now."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 3,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "NSTDSHTN4JJk",
        "outputId": "5c2ad4b0-cc4b-4ced-9bfe-a75960cc36bd"
      },
      "outputs": [],
      "source": [
        "def udocker_init():\n",
        "    import os\n",
        "    if not os.path.exists(\"/home/user\"):\n",
        "        !pip install udocker > /dev/null\n",
        "        !udocker --allow-root install > /dev/null\n",
        "        !useradd -m user > /dev/null\n",
        "    print(f'Docker-in-Colab 1.1.0\\n')\n",
        "    print(f'Usage:     udocker(\"--help\")')\n",
        "    print(f'Examples:  https://github.com/indigo-dc/udocker?tab=readme-ov-file#examples')\n",
        "\n",
        "    def execute(command: str):\n",
        "        user_prompt = \"\\033[1;32muser@pc\\033[0m\"\n",
        "        print(f\"{user_prompt}$ udocker {command}\")\n",
        "        !su - user -c \"udocker $command\"\n",
        "\n",
        "    return execute\n",
        "\n",
        "if not docker and not apptainer:\n",
        "    udocker = udocker_init()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "We define a general function to run our MPRAsnakeflow tutorial container that will check if docker, apptainer or uDocker has to be run. It will also bind your data directory `${{PWD}}/MPRAsnakeflow_tutorial` (will be dowloaded later) to `/data/run` within the container and defines this as working directory."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 4,
      "metadata": {},
      "outputs": [],
      "source": [
        "def runContainer(command):\n",
        "    user_prompt = \"\\033[1;32muser@pc\\033[0m\"\n",
        "    if docker:\n",
        "        print(f\"{user_prompt}$ docker run -v=${{PWD}}/MPRAsnakeflow_tutorial:/data/run --workdir /data/run {tutorial_container} {command}\")\n",
        "        !docker run -v=${{PWD}}/MPRAsnakeflow_tutorial:/data/run --workdir /data/run {tutorial_container} {command}\n",
        "    elif apptainer:\n",
        "        print(f\"apptainer run -B=${{PWD}}/MPRAsnakeflow_tutorial:/data/run --cwd /data/run mprasnakeflow_tutorial.sif {command}\")\n",
        "        !apptainer run -B=${{PWD}}/MPRAsnakeflow_tutorial:/data/run --cwd /data/run mprasnakeflow_tutorial.sif {command}\n",
        "    else:\n",
        "        udocker(f\"run -v=${{PWD}}/MPRAsnakeflow_tutorial:/data/run --workdir /data/run mprasnakeflow_tutorial {command}\")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Mb0rhjfo8dbA"
      },
      "source": [
        "### Test data\n",
        "\n",
        "The data used in this tutorial is present in the github repository. We will dowload it using git so that it is also present within a colab environment."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 5,
      "metadata": {
        "id": "BGLsBxpyst9V"
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "Cloning into 'MPRAsnakeflow_tutorial'...\n"
          ]
        }
      ],
      "source": [
        "%%bash\n",
        "git clone https://github.com/kircherlab/MPRAsnakeflow_tutorial.git"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "4WYuqwGr-fEp"
      },
      "source": [
        "### snakemake\n",
        "\n",
        "MPRAsnakeflow and its software dependencies is packed in the official snakemake v8.20.3 container and you can find it on dockerhub wih the tag [`visze/mprasnakeflow_tutorial:0.1.0`](https://hub.docker.com/r/visze/mprasnakeflow_tutorial)."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 6,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ZZv9f_eu4bB9",
        "outputId": "67fa0e9c-386e-454a-c88d-11ce125ee5c3"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "apptainer pull mprasnakeflow_tutorial.sif docker://visze/mprasnakeflow_tutorial:0.1.0\n",
            "\u001b[34mINFO:   \u001b[0m Using cached SIF image\n"
          ]
        }
      ],
      "source": [
        "if docker:\n",
        "    print(f\"docker pull {tutorial_container}\")\n",
        "    !docker pull \"{tutorial_container}\"\n",
        "    print(f\"docker create --name=mprasnakeflow_tutorial {tutorial_container}\")\n",
        "    !docker create --name=mprasnakeflow_tutorial \"{tutorial_container}\" > /dev/null\n",
        "elif apptainer:\n",
        "    print(f\"apptainer pull mprasnakeflow_tutorial.sif docker://{tutorial_container}\")\n",
        "    !apptainer pull mprasnakeflow_tutorial.sif docker://{tutorial_container} > /dev/null\n",
        "else:\n",
        "    udocker(f\"pull {tutorial_container}\")\n",
        "    udocker(f\"create --name=mprasnakeflow_tutorial {tutorial_container}\")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "zYhKnwlV-orz"
      },
      "source": [
        "Try to run `snakemake --version` in docker:"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 7,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "collapsed": true,
        "id": "jQi5e3634sDP",
        "outputId": "844eb31f-20d4-463a-ef20-6c6c3b013e7a"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "apptainer run -B=${PWD}/MPRAsnakeflow_tutorial:/data/run --cwd /data/run mprasnakeflow_tutorial.sif snakemake --version\n",
            "8.20.3+0.ge9ce4a3c.dirty\n"
          ]
        }
      ],
      "source": [
        "runContainer(\"snakemake --version\")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## Experiment Workflow\n",
        "\n",
        "For the experiment step, where the counts per oligo are calculated, we need all the files in the `example_data/counts` folder, as well as the config file and the barcode assignment file, which is the output of the assignment step (but also stored under `example_data/counts`).\n",
        "\n",
        "We investigated the assignment file in the association tutorial. This table is now used to count the number of observed barcodes for each target sequence."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "We can take a look at the input files, to understand what we later have to gve the MPRAsnakeflow pipeline via a config file. Each count experiment, in our case, is described using three files (the paths of which are in the `experiment.csv` file): forward reads, reverse reads, and UMIs. Note that the UMIs are optional, and serve to deduplicate barcodes with overdispersed counts due to preferential amplification related to GC content or library preparation steps. From one of the UMI read files, we can see that indeed our UMI length is 16:"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 8,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "\n",
            "Average length of a UMI:\n",
            "16\n"
          ]
        }
      ],
      "source": [
        "print(\"\\nAverage length of a UMI:\")\n",
        "!zcat \"MPRAsnakeflow_tutorial/example_data/counts/dna-1_S1_R2_001.fastq.gz\" | awk 'NR % 4 == 2 {{sum += length($$0)}} END {{print sum*4/NR}}'"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "We can also check the length of the barcode, which should be 15:"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 9,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "\n",
            "Average length of a barcode:\n",
            "15\n"
          ]
        }
      ],
      "source": [
        "print(\"\\nAverage length of a barcode:\")\n",
        "!zcat \"MPRAsnakeflow_tutorial/example_data/counts/dna-1_S1_R1_001.fastq.gz\" | awk 'NR % 4 == 2 {{sum += length($$0)}} END {{print sum*4/NR}}'"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "0KqdtmOb_gHg"
      },
      "source": [
        "## Run MPRAsnakeflow\n",
        "\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "### Snakemake\n",
        "\n",
        "Before we come to more MPRAsnakeflow pipeline specific things we quickly want to introduce the snakemake workflow management system. A workflow management system, also like nextflow or cwl, is a tool to create reproducible and scalable data analyses. Snakemake workflows are described via a human readable, Python based language. They can be seamlessly scaled to server, cluster, grid and cloud environments, without the need to modify the workflow definition. Finally, Snakemake workflows can entail a description of required software, which will be automatically deployed to any execution environment.\n",
        "\n",
        "Each step in snakemake is defined as a `rule`. Which has a `input`, `output` and a mostly `shell` command. The `input` and `output` are files that are used as input and output for the rule. The `shell` command is the command that is executed to create the output file from the input file. There are other commands like `conda`, `params`, `log`, `threads`, `resources` that can be used to define the rule.\n",
        "\n",
        "E.g. here is an example rule `assigned_counts_combine_replicates` of MPRAsnakeflow, which combines counts of replicates into one final count. In short: merging counts of replicates. The ruzle takes as ainput a tab separated file with all counts in it per condition. And the python script that will merge it `combine_replicates.py`. Path names in curly brackets like  `{project}` or `{assignment}` is a wildcard and the name will be the project, assignment name etc that is configured in the config files.  Finally the `shell` command takes the python script, the inputs and runs it creating the output and logs.\n",
        "\n",
        "```python\n",
        "rule assigned_counts_combine_replicates:\n",
        "    \"\"\"\n",
        "    Combine replicates of master table by summing counts up and using also the average.\n",
        "    \"\"\"\n",
        "    conda:\n",
        "        \"../envs/python3.yaml\"\n",
        "    input:\n",
        "        master_table=\"results/experiments/{project}/assigned_counts/{assignment}/{config}/{condition}_{allreps_or_threshold}_merged.tsv.gz\",\n",
        "        script=getScript(\"count/combine_replicates.py\"),\n",
        "    output:\n",
        "        \"results/experiments/{project}/assigned_counts/{assignment}/{config}/{condition}_{allreps_or_threshold}_merged.combined.tsv.gz\",\n",
        "    params:\n",
        "        label_file=lambda wc: (\n",
        "            \"--labels %s\" % config[\"experiments\"][wc.project][\"label_file\"]\n",
        "            if \"label_file\" in config[\"experiments\"][wc.project]\n",
        "            else \"\"\n",
        "        ),\n",
        "    log:\n",
        "        temp(\n",
        "            \"results/logs/assigned_counts/combine_replicates.{project}.{condition}.{config}.{assignment}.{allreps_or_threshold}.log\"\n",
        "        ),\n",
        "    shell:\n",
        "        \"\"\"\n",
        "        python {input.script} \\\n",
        "        --input {input.master_table} \\\n",
        "        {params.label_file} \\\n",
        "        --output {output}  &> {log}\n",
        "        \"\"\"\n",
        "```\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "When running snakemake you need to specify where your worflow is, basically the main `Snakefile` of it. By default, Snakemake will search for ‘Snakefile’, ‘snakefile’, ‘workflow/Snakefile’, ‘workflow/snakefile’ beneath the current working directory, in this order. Then you do not have to use this command. But practically your workflow, here MPRAsnakeflow, might live somewhere else and you want to run the workflow in a different directory where you want to produce results. Then you need to specify the `--snakefile` parameter to the MPRAsnakeflow file in `workflow/Snakefile`. Otherwise you ahve to check/copy the workflow in every \"run\" rirectory which is not practically. Usually you start snakemake in the directory where you want to produce results."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "### The config file\n",
        "\n",
        "The heart of your workflow run is the config file. You can specify it via `--configfile`. It is in `yaml` or `json` format. It contains all the parameters and input files that are used in the workflow.\n",
        "\n",
        "The config file has many parameters. But most of them have a default well, based on best practice and you don't have to specify them. But you can overwrite them if you want. Config files are first validated using json schema. If your config file is not correct MPRAsnakeflow will tell you what is missing or wrong and stop. Naming, parameters etc. might change from MPRAsnakeflow version and you might have to update your config file if you run a new version of MPRAsnakeflow. An extensive documentation of the config file can be found in the [MPRAsnakeflow documentation](https://mprasnakeflow.readthedocs.io/en/development/config.html).\n",
        "\n",
        "Here is the config file that we will use for running the experiment tutorial.\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "```yaml\n",
        "---\n",
        "experiments:\n",
        "  experimentMPRAworkshop:\n",
        "    bc_length: 15\n",
        "    umi_length: 16\n",
        "    data_folder: example_data/counts\n",
        "    experiment_file: example_data/experiment.csv\n",
        "    assignments:\n",
        "      MPRAworkshop:\n",
        "        type: file\n",
        "        assignment_file: example_data/assignment/assignment_barcodes.default.tsv.gz\n",
        "    label_file: example_data/design/workshop_labels.tsv\n",
        "    configs:\n",
        "      default: {}\n",
        "      tutorialConfig:\n",
        "        filter:\n",
        "          bc_threshold: 5\n",
        "          DNA:\n",
        "            min_counts: 1\n",
        "          RNA:\n",
        "            min_counts: 1\n",
        "```"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "The previous block shows the part of the config file that concerns the experiment part. Since assignment and experiment part can be run independently the `bc_length` needs to be set again.\n",
        "\n",
        "The `experiment_file` holds the path to the file of the experiment table (i.e. condition, replicate and name of read files given)."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Because we run the experiment workflow we start with `experiments`. Then a list with possible names of experiments will follow. Here we have just one: `experimentMPRAworkshop`. The whole config file has the minimal information, which is needed by MPRAsnakeflow (except for `configs`, see later). This is the barcode length `bc_length` and the UMI length `umi_length` which we calculated previously. Then a link to folder `data_folder` where all fastqs of the experiment are. What conditions, replicates and belonging fastq files we have is stored in the the `experiment_file`.\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "As a sanity check and to understand where these values come from, we will take a look at if the information matches our input files. We used 15 bp adapters for this MPRA experiment, which were added at both ends of each designed oligo. The ``alignment_start`` configuration refers to these adapters as our actual target sequences only starts after the 15 bp of adapter sequence."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 10,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "\n",
            "Average length of a barcode:\n",
            "15\n",
            "\n",
            "Average length of a target sequence (oligo length - 2 x adapter):\n",
            "200\n"
          ]
        }
      ],
      "source": [
        "adapter_length=15\n",
        "\n",
        "print(\"\\nAverage length of a barcode:\")\n",
        "!zcat \"MPRAsnakeflow_tutorial/example_data/assignment/assoc_bc.fastq.gz\" | awk 'NR % 4 == 2 {{sum += length($$0)}} END {{print sum*4/NR}}'\n",
        "\n",
        "print(\"\\nAverage length of a target sequence (oligo length - 2 x adapter):\")\n",
        "seq_length_with_bc = !cat \"MPRAsnakeflow_tutorial/example_data/design/workshop_design.fa\" | awk 'NR % 4 == 2 {{sum +=length($$0)}} END {{print sum*4/NR}}'\n",
        "seq_length_with_bc = int(seq_length_with_bc[0])\n",
        "seq_length = seq_length_with_bc - 2*adapter_length\n",
        "print(seq_length)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "### MPRAsnakeflow tutorial profile\n",
        "\n",
        "Snakemake can make use of profiles to pre-configure command-line-interfaces as well as ressources and number of threads as default or per rule. A profile has to be stored (on Linux) in the folder `$HOME/.config/snakemake` or `/etc/xdg/snakemake`. It can be activated by using the `--profile` option in the snakemake command. In addition you can set an environment variable `SNAKEMAKE_PROFILE`, e.g. by specifying export `SNAKEMAKE_PROFILE=myprofile` in your `~/.bashrc` to use the profile by default. In addition a specific workflow profile can be set using `--workflow-profile path_to_your_profile`. E.g. we pre-defined a [workflow profile for MPRAsnakeflow](https://github.com/kircherlab/MPRAsnakeflow/blob/development/profiles/default/config.yaml) adding ressources to each rule with some additional commands for the [snakemake excecutor plugin slum](https://snakemake.github.io/snakemake-plugin-catalog/plugins/executor/slurm.html).\n",
        "\n",
        "For more information on snakemake using profiles please have a look [snakemke profile documentation](https://snakemake.readthedocs.io/en/stable/executing/cli.html#profiles)\n",
        "\n",
        "For the MPRAsnakeflow tutorial we will use the profile `mprasnakeflow` which is stored in the folder `/etc/xdg/snakemake` within the container and the `SNAKEMAKE_PROFILE=mprasnakeflow` is already set. Have a look at the variable and the profile:"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 11,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "apptainer run -B=${PWD}/MPRAsnakeflow_tutorial:/data/run --cwd /data/run mprasnakeflow_tutorial.sif cat /etc/xdg/snakemake/mprasnakeflow/config.yaml\n",
            "---\n",
            "snakefile: /data/MPRAsnakeflow/workflow/Snakefile\n",
            "software-deployment-method: conda\n",
            "conda-prefix: /data/conda_envs\n",
            "cores: 1\n",
            "set-threads:\n",
            "  assignment_mapping_bbmap: 10\n"
          ]
        }
      ],
      "source": [
        "runContainer(\"cat /etc/xdg/snakemake/mprasnakeflow/config.yaml\")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "You see that we already defined where the MPRASsnkeflow `Snakefile` is and `--snakefile` is not necessary. Also all software packages are installed alrady in the container using conda and we enable this software deployment method and tell snakemake where the conda environments live (the default will be your exceuction folder under `.snamemake/conda`). Also the `--cores/-c` option is not necessary anymore and snakemake just needs your configuration file of the workflow using the command `--configfile`"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "### Run the workflow\n",
        "\n",
        "First we run a dry-run to see what will be executed using `-n` and `--quiet rules` to see only the overview of excecuted rules and not each rule command individually. The most important part is setting the config file via `-configfile config_experiment.yaml`"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 12,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "TXlOomWL5Am2",
        "outputId": "5c32a998-eaef-426e-ccc8-8102d2487950"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "apptainer run -B=${PWD}/MPRAsnakeflow_tutorial:/data/run --cwd /data/run mprasnakeflow_tutorial.sif snakemake --configfile config_experiment.yaml -n --quiet rules\n",
            "Using profile mprasnakeflow for setting default command line arguments.\n",
            "\u001b[32mhost: pmn-bih-cfbi-20\u001b[0m\n",
            "\u001b[33mBuilding DAG of jobs...\u001b[0m\n",
            "\u001b[33mJob stats:\n",
            "job                                                             count\n",
            "------------------------------------------------------------  -------\n",
            "all                                                                 1\n",
            "assigned_counts_assignBarcodes                                     12\n",
            "assigned_counts_combine_replicates                                  4\n",
            "assigned_counts_combine_replicates_barcode_output                   2\n",
            "assigned_counts_dna_rna_merge                                       6\n",
            "assigned_counts_filterAssignment                                    1\n",
            "assigned_counts_make_master_tables                                  2\n",
            "counts_dna_rna_merge_counts                                        12\n",
            "counts_filter_counts                                                6\n",
            "counts_final_counts                                                 6\n",
            "counts_umi_create_BAM                                               6\n",
            "counts_umi_raw_counts                                               6\n",
            "qc_report_count                                                     2\n",
            "statistic_assigned_counts_combine_BC_assignment_stats               2\n",
            "statistic_assigned_counts_combine_BC_assignment_stats_helper        2\n",
            "statistic_assigned_counts_combine_stats_dna_rna_merge               2\n",
            "statistic_assigned_counts_combine_stats_dna_rna_merge_all           2\n",
            "statistic_bc_overlap_combine_assigned_counts                        2\n",
            "statistic_bc_overlap_combine_counts                                 2\n",
            "statistic_bc_overlap_run                                            8\n",
            "statistic_correlation_bc_counts                                     4\n",
            "statistic_correlation_bc_counts_hist                                4\n",
            "statistic_correlation_calculate                                     2\n",
            "statistic_correlation_combine_bc_assigned                           2\n",
            "statistic_correlation_combine_bc_raw                                2\n",
            "statistic_correlation_combine_oligo                                 2\n",
            "statistic_correlation_hist_box_plots                                2\n",
            "statistic_counts_BC_in_RNA_DNA                                      6\n",
            "statistic_counts_BC_in_RNA_DNA_merge                                2\n",
            "statistic_counts_barcode_base_composition                           6\n",
            "statistic_counts_final                                              2\n",
            "statistic_counts_frequent_umis                                      6\n",
            "statistic_counts_stats_merge                                        2\n",
            "statistic_counts_table                                             12\n",
            "total                                                             140\n",
            "\u001b[0m\n"
          ]
        }
      ],
      "source": [
        "# MPRAsnakeflow_tutorial must be accessable and writable for all (and docker)\n",
        "!chmod ugo+rwx MPRAsnakeflow_tutorial\n",
        "# Run MPRAsnakeflow\n",
        "runContainer(\"snakemake --configfile config_experiment.yaml -n --quiet rules\")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "You see a list of rules and how often this rule is executed debending on the input file. A short summary of each rule is in the [MPRAsnakeflow documentation](https://mprasnakeflow.readthedocs.io/en/latest/experiment.html#rules).\n",
        "\n",
        "Now let's run snakemake using 10 cores. When you add the `-p` flag you will see the exact code that is executed in each rule. But we ommit this here beacuse it is a lot of output."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 13,
      "metadata": {
        "id": "gNESKLR_UkLV"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "apptainer run -B=${PWD}/MPRAsnakeflow_tutorial:/data/run --cwd /data/run mprasnakeflow_tutorial.sif snakemake --configfile config_experiment.yaml -c 10\n",
            "Using profile mprasnakeflow for setting default command line arguments.\n",
            "\u001b[33mAssuming unrestricted shared filesystem usage.\u001b[0m\n",
            "\u001b[32mhost: pmn-bih-cfbi-20\u001b[0m\n",
            "\u001b[33mBuilding DAG of jobs...\u001b[0m\n",
            "\u001b[33mUsing shell: /usr/bin/bash\u001b[0m\n",
            "\u001b[33mProvided cores: 10\u001b[0m\n",
            "\u001b[33mRules claiming more threads will be scaled down.\u001b[0m\n",
            "\u001b[33mSingularity containers: ignored\u001b[0m\n",
            "\u001b[33mJob stats:\n",
            "job                                                             count\n",
            "------------------------------------------------------------  -------\n",
            "all                                                                 1\n",
            "assigned_counts_assignBarcodes                                     12\n",
            "assigned_counts_combine_replicates                                  4\n",
            "assigned_counts_combine_replicates_barcode_output                   2\n",
            "assigned_counts_dna_rna_merge                                       6\n",
            "assigned_counts_filterAssignment                                    1\n",
            "assigned_counts_make_master_tables                                  2\n",
            "counts_dna_rna_merge_counts                                        12\n",
            "counts_filter_counts                                                6\n",
            "counts_final_counts                                                 6\n",
            "counts_umi_create_BAM                                               6\n",
            "counts_umi_raw_counts                                               6\n",
            "qc_report_count                                                     2\n",
            "statistic_assigned_counts_combine_BC_assignment_stats               2\n",
            "statistic_assigned_counts_combine_BC_assignment_stats_helper        2\n",
            "statistic_assigned_counts_combine_stats_dna_rna_merge               2\n",
            "statistic_assigned_counts_combine_stats_dna_rna_merge_all           2\n",
            "statistic_bc_overlap_combine_assigned_counts                        2\n",
            "statistic_bc_overlap_combine_counts                                 2\n",
            "statistic_bc_overlap_run                                            8\n",
            "statistic_correlation_bc_counts                                     4\n",
            "statistic_correlation_bc_counts_hist                                4\n",
            "statistic_correlation_calculate                                     2\n",
            "statistic_correlation_combine_bc_assigned                           2\n",
            "statistic_correlation_combine_bc_raw                                2\n",
            "statistic_correlation_combine_oligo                                 2\n",
            "statistic_correlation_hist_box_plots                                2\n",
            "statistic_counts_BC_in_RNA_DNA                                      6\n",
            "statistic_counts_BC_in_RNA_DNA_merge                                2\n",
            "statistic_counts_barcode_base_composition                           6\n",
            "statistic_counts_final                                              2\n",
            "statistic_counts_frequent_umis                                      6\n",
            "statistic_counts_stats_merge                                        2\n",
            "statistic_counts_table                                             12\n",
            "total                                                             140\n",
            "\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 7 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:21:53 2024]\u001b[0m\n",
            "\u001b[32mlocalrule counts_umi_create_BAM:\n",
            "    input: example_data/counts/rna-3_S6_R1_001.fastq.gz, example_data/counts/rna-3_S6_R3_001.fastq.gz, example_data/counts/rna-3_S6_R2_001.fastq.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/FastQ2doubleIndexBAM_python3.py (cached), /data/MPRAsnakeflow/workflow/rules/../scripts/count/library_python3.py (cached), /data/MPRAsnakeflow/workflow/rules/../scripts/count/MergeTrimReadsBAM_python3.py (cached), /data/MPRAsnakeflow/workflow/rules/../scripts/count/MergeTrimReads_python3.py (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_3_RNA.bam\n",
            "    log: results/logs/counts/umi/create_BAM.experimentMPRAworkshop.HepG2.3.RNA.log\n",
            "    jobid: 33\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_3_RNA.bam\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, replicate=3, type=RNA\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/6b581fe0673ef9f4220b75b42bfbd73d_\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:21:53 2024]\u001b[0m\n",
            "\u001b[32mlocalrule counts_umi_create_BAM:\n",
            "    input: example_data/counts/dna-2_S2_R1_001.fastq.gz, example_data/counts/dna-2_S2_R3_001.fastq.gz, example_data/counts/dna-2_S2_R2_001.fastq.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/FastQ2doubleIndexBAM_python3.py (cached), /data/MPRAsnakeflow/workflow/rules/../scripts/count/library_python3.py (cached), /data/MPRAsnakeflow/workflow/rules/../scripts/count/MergeTrimReadsBAM_python3.py (cached), /data/MPRAsnakeflow/workflow/rules/../scripts/count/MergeTrimReads_python3.py (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_2_DNA.bam\n",
            "    log: results/logs/counts/umi/create_BAM.experimentMPRAworkshop.HepG2.2.DNA.log\n",
            "    jobid: 19\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_2_DNA.bam\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, replicate=2, type=DNA\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/6b581fe0673ef9f4220b75b42bfbd73d_\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:21:53 2024]\u001b[0m\n",
            "\u001b[32mlocalrule counts_umi_create_BAM:\n",
            "    input: example_data/counts/dna-3_S3_R1_001.fastq.gz, example_data/counts/dna-3_S3_R3_001.fastq.gz, example_data/counts/dna-3_S3_R2_001.fastq.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/FastQ2doubleIndexBAM_python3.py (cached), /data/MPRAsnakeflow/workflow/rules/../scripts/count/library_python3.py (cached), /data/MPRAsnakeflow/workflow/rules/../scripts/count/MergeTrimReadsBAM_python3.py (cached), /data/MPRAsnakeflow/workflow/rules/../scripts/count/MergeTrimReads_python3.py (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_3_DNA.bam\n",
            "    log: results/logs/counts/umi/create_BAM.experimentMPRAworkshop.HepG2.3.DNA.log\n",
            "    jobid: 29\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_3_DNA.bam\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, replicate=3, type=DNA\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/6b581fe0673ef9f4220b75b42bfbd73d_\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:21:53 2024]\u001b[0m\n",
            "\u001b[32mlocalrule counts_umi_create_BAM:\n",
            "    input: example_data/counts/rna-2_S5_R1_001.fastq.gz, example_data/counts/rna-2_S5_R3_001.fastq.gz, example_data/counts/rna-2_S5_R2_001.fastq.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/FastQ2doubleIndexBAM_python3.py (cached), /data/MPRAsnakeflow/workflow/rules/../scripts/count/library_python3.py (cached), /data/MPRAsnakeflow/workflow/rules/../scripts/count/MergeTrimReadsBAM_python3.py (cached), /data/MPRAsnakeflow/workflow/rules/../scripts/count/MergeTrimReads_python3.py (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_2_RNA.bam\n",
            "    log: results/logs/counts/umi/create_BAM.experimentMPRAworkshop.HepG2.2.RNA.log\n",
            "    jobid: 23\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_2_RNA.bam\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, replicate=2, type=RNA\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/6b581fe0673ef9f4220b75b42bfbd73d_\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:21:53 2024]\u001b[0m\n",
            "\u001b[32mlocalrule counts_umi_create_BAM:\n",
            "    input: example_data/counts/dna-1_S1_R1_001.fastq.gz, example_data/counts/dna-1_S1_R3_001.fastq.gz, example_data/counts/dna-1_S1_R2_001.fastq.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/FastQ2doubleIndexBAM_python3.py (cached), /data/MPRAsnakeflow/workflow/rules/../scripts/count/library_python3.py (cached), /data/MPRAsnakeflow/workflow/rules/../scripts/count/MergeTrimReadsBAM_python3.py (cached), /data/MPRAsnakeflow/workflow/rules/../scripts/count/MergeTrimReads_python3.py (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_1_DNA.bam\n",
            "    log: results/logs/counts/umi/create_BAM.experimentMPRAworkshop.HepG2.1.DNA.log\n",
            "    jobid: 8\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_1_DNA.bam\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, replicate=1, type=DNA\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/6b581fe0673ef9f4220b75b42bfbd73d_\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:21:53 2024]\u001b[0m\n",
            "\u001b[32mlocalrule counts_umi_create_BAM:\n",
            "    input: example_data/counts/rna-1_S4_R1_001.fastq.gz, example_data/counts/rna-1_S4_R3_001.fastq.gz, example_data/counts/rna-1_S4_R2_001.fastq.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/FastQ2doubleIndexBAM_python3.py (cached), /data/MPRAsnakeflow/workflow/rules/../scripts/count/library_python3.py (cached), /data/MPRAsnakeflow/workflow/rules/../scripts/count/MergeTrimReadsBAM_python3.py (cached), /data/MPRAsnakeflow/workflow/rules/../scripts/count/MergeTrimReads_python3.py (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_1_RNA.bam\n",
            "    log: results/logs/counts/umi/create_BAM.experimentMPRAworkshop.HepG2.1.RNA.log\n",
            "    jobid: 12\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_1_RNA.bam\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, replicate=1, type=RNA\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/6b581fe0673ef9f4220b75b42bfbd73d_\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:21:53 2024]\u001b[0m\n",
            "\u001b[32mlocalrule assigned_counts_filterAssignment:\n",
            "    input: example_data/assignment/assignment_barcodes.default.tsv.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/samplerer_assignment.py (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/assignment/MPRAworkshop.tsv.gz\n",
            "    log: results/logs/assigned_counts/filterAssignment.experimentMPRAworkshop.MPRAworkshop.log\n",
            "    jobid: 13\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/assignment/MPRAworkshop.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, assignment=MPRAworkshop\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/6b581fe0673ef9f4220b75b42bfbd73d_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:22:02 2024]\u001b[0m\n",
            "\u001b[32mFinished job 13.\u001b[0m\n",
            "\u001b[32m1 of 140 steps (1%) done\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:26:13 2024]\u001b[0m\n",
            "\u001b[32mFinished job 19.\u001b[0m\n",
            "\u001b[32m2 of 140 steps (1%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:26:13 2024]\u001b[0m\n",
            "\u001b[32mlocalrule counts_umi_raw_counts:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_2_DNA.bam\n",
            "    output: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_2_DNA_raw_counts.tsv.gz\n",
            "    log: results/logs/counts/umi/raw_counts.experimentMPRAworkshop.HepG2.2.DNA.log\n",
            "    jobid: 18\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_2_DNA_raw_counts.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_2_DNA.bam\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, replicate=2, type=DNA\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/50b61aef61c0c65fd933378d537fa1ad_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:26:16 2024]\u001b[0m\n",
            "\u001b[32mFinished job 29.\u001b[0m\n",
            "\u001b[32m3 of 140 steps (2%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:26:16 2024]\u001b[0m\n",
            "\u001b[32mlocalrule counts_umi_raw_counts:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_3_DNA.bam\n",
            "    output: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_3_DNA_raw_counts.tsv.gz\n",
            "    log: results/logs/counts/umi/raw_counts.experimentMPRAworkshop.HepG2.3.DNA.log\n",
            "    jobid: 28\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_3_DNA_raw_counts.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_3_DNA.bam\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, replicate=3, type=DNA\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/50b61aef61c0c65fd933378d537fa1ad_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:26:21 2024]\u001b[0m\n",
            "\u001b[32mFinished job 8.\u001b[0m\n",
            "\u001b[32m4 of 140 steps (3%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:26:21 2024]\u001b[0m\n",
            "\u001b[32mlocalrule counts_umi_raw_counts:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_1_DNA.bam\n",
            "    output: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_1_DNA_raw_counts.tsv.gz\n",
            "    log: results/logs/counts/umi/raw_counts.experimentMPRAworkshop.HepG2.1.DNA.log\n",
            "    jobid: 7\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_1_DNA_raw_counts.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_1_DNA.bam\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, replicate=1, type=DNA\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/50b61aef61c0c65fd933378d537fa1ad_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:26:27 2024]\u001b[0m\n",
            "\u001b[32mFinished job 18.\u001b[0m\n",
            "\u001b[32m5 of 140 steps (4%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 2 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:26:27 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_counts_table:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_2_DNA_raw_counts.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_2_DNA_raw_counts.tsv.gz\n",
            "    log: results/logs/statistic/counts/table.experimentMPRAworkshop.HepG2_2_DNA_raw.log\n",
            "    jobid: 82\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_2_DNA_raw_counts.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_2_DNA_raw_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, replicate=2, type=DNA, countType=raw\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:26:27 2024]\u001b[0m\n",
            "\u001b[32mlocalrule counts_filter_counts:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_2_DNA_raw_counts.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/counts/HepG2_2_DNA_filtered_counts.tsv.gz\n",
            "    log: results/logs/counts/filter_counts.experimentMPRAworkshop.HepG2.2.DNA.log\n",
            "    jobid: 17\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/counts/HepG2_2_DNA_filtered_counts.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_2_DNA_raw_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, replicate=2, type=DNA\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "15\n",
            "\u001b[32m[Wed Sep 18 14:26:28 2024]\u001b[0m\n",
            "\u001b[32mFinished job 28.\u001b[0m\n",
            "\u001b[32m6 of 140 steps (4%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 2 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:26:28 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_counts_table:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_3_DNA_raw_counts.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_3_DNA_raw_counts.tsv.gz\n",
            "    log: results/logs/statistic/counts/table.experimentMPRAworkshop.HepG2_3_DNA_raw.log\n",
            "    jobid: 84\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_3_DNA_raw_counts.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_3_DNA_raw_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, replicate=3, type=DNA, countType=raw\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:26:28 2024]\u001b[0m\n",
            "\u001b[32mlocalrule counts_filter_counts:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_3_DNA_raw_counts.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/counts/HepG2_3_DNA_filtered_counts.tsv.gz\n",
            "    log: results/logs/counts/filter_counts.experimentMPRAworkshop.HepG2.3.DNA.log\n",
            "    jobid: 27\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/counts/HepG2_3_DNA_filtered_counts.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_3_DNA_raw_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, replicate=3, type=DNA\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "15\n",
            "\u001b[32m[Wed Sep 18 14:26:29 2024]\u001b[0m\n",
            "\u001b[32mFinished job 82.\u001b[0m\n",
            "\u001b[32m7 of 140 steps (5%) done\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:26:29 2024]\u001b[0m\n",
            "\u001b[32mFinished job 84.\u001b[0m\n",
            "\u001b[32m8 of 140 steps (6%) done\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:26:32 2024]\u001b[0m\n",
            "\u001b[32mFinished job 17.\u001b[0m\n",
            "\u001b[32m9 of 140 steps (6%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 3 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:26:32 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_counts_frequent_umis:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_2_DNA_filtered_counts.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/counts.freqUMIs.HepG2_2_DNA.txt\n",
            "    log: results/logs/statistic/counts/frequent_umis.experimentMPRAworkshop.HepG2.2.DNA.log\n",
            "    jobid: 105\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/counts.freqUMIs.HepG2_2_DNA.txt; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/HepG2_2_DNA_filtered_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, replicate=2, type=DNA\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:26:32 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_counts_table:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_2_DNA_filtered_counts.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_2_DNA_filtered_counts.tsv.gz\n",
            "    log: results/logs/statistic/counts/table.experimentMPRAworkshop.HepG2_2_DNA_filtered.log\n",
            "    jobid: 94\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_2_DNA_filtered_counts.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/HepG2_2_DNA_filtered_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, replicate=2, type=DNA, countType=filtered\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:26:32 2024]\u001b[0m\n",
            "\u001b[32mlocalrule counts_final_counts:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_2_DNA_filtered_counts.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/counts/HepG2_2_DNA_final_counts.tsv.gz\n",
            "    log: results/logs/counts/final_counts_umi.experimentMPRAworkshop.HepG2.2.DNA.log\n",
            "    jobid: 16\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/counts/HepG2_2_DNA_final_counts.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/HepG2_2_DNA_filtered_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, replicate=2, type=DNA\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:26:33 2024]\u001b[0m\n",
            "\u001b[32mFinished job 27.\u001b[0m\n",
            "\u001b[32m10 of 140 steps (7%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 3 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:26:33 2024]\u001b[0m\n",
            "\u001b[32mlocalrule counts_final_counts:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_3_DNA_filtered_counts.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/counts/HepG2_3_DNA_final_counts.tsv.gz\n",
            "    log: results/logs/counts/final_counts_umi.experimentMPRAworkshop.HepG2.3.DNA.log\n",
            "    jobid: 26\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/counts/HepG2_3_DNA_final_counts.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/HepG2_3_DNA_filtered_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, replicate=3, type=DNA\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:26:33 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_counts_frequent_umis:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_3_DNA_filtered_counts.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/counts.freqUMIs.HepG2_3_DNA.txt\n",
            "    log: results/logs/statistic/counts/frequent_umis.experimentMPRAworkshop.HepG2.3.DNA.log\n",
            "    jobid: 107\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/counts.freqUMIs.HepG2_3_DNA.txt; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/HepG2_3_DNA_filtered_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, replicate=3, type=DNA\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:26:33 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_counts_table:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_3_DNA_filtered_counts.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_3_DNA_filtered_counts.tsv.gz\n",
            "    log: results/logs/statistic/counts/table.experimentMPRAworkshop.HepG2_3_DNA_filtered.log\n",
            "    jobid: 96\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_3_DNA_filtered_counts.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/HepG2_3_DNA_filtered_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, replicate=3, type=DNA, countType=filtered\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:26:33 2024]\u001b[0m\n",
            "\u001b[32mFinished job 7.\u001b[0m\n",
            "\u001b[32m11 of 140 steps (8%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:26:33 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_counts_table:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_1_DNA_raw_counts.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_1_DNA_raw_counts.tsv.gz\n",
            "    log: results/logs/statistic/counts/table.experimentMPRAworkshop.HepG2_1_DNA_raw.log\n",
            "    jobid: 80\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_1_DNA_raw_counts.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_1_DNA_raw_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, replicate=1, type=DNA, countType=raw\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:26:34 2024]\u001b[0m\n",
            "\u001b[32mFinished job 94.\u001b[0m\n",
            "\u001b[32m12 of 140 steps (9%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:26:34 2024]\u001b[0m\n",
            "\u001b[32mlocalrule counts_filter_counts:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_1_DNA_raw_counts.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/counts/HepG2_1_DNA_filtered_counts.tsv.gz\n",
            "    log: results/logs/counts/filter_counts.experimentMPRAworkshop.HepG2.1.DNA.log\n",
            "    jobid: 6\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/counts/HepG2_1_DNA_filtered_counts.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_1_DNA_raw_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, replicate=1, type=DNA\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "15\n",
            "\u001b[32m[Wed Sep 18 14:26:34 2024]\u001b[0m\n",
            "\u001b[32mFinished job 105.\u001b[0m\n",
            "\u001b[32m13 of 140 steps (9%) done\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:26:35 2024]\u001b[0m\n",
            "\u001b[32mFinished job 96.\u001b[0m\n",
            "\u001b[32m14 of 140 steps (10%) done\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:26:35 2024]\u001b[0m\n",
            "\u001b[32mFinished job 80.\u001b[0m\n",
            "\u001b[32m15 of 140 steps (11%) done\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:26:35 2024]\u001b[0m\n",
            "\u001b[32mFinished job 16.\u001b[0m\n",
            "\u001b[32m16 of 140 steps (11%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 3 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:26:35 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_counts_barcode_base_composition:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_2_DNA_final_counts.tsv.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/nucleotideCountPerPosition.py (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/counts/HepG2_2_DNA_final.BC.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/counts/BCNucleotideComposition.HepG2_2_DNA.tsv.gz\n",
            "    log: results/logs/statistic/counts/barcode_base_composition.experimentMPRAworkshop.HepG2_2_DNA.log\n",
            "    jobid: 75\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/counts/BCNucleotideComposition.HepG2_2_DNA.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/HepG2_2_DNA_final_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, replicate=2, type=DNA\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:26:35 2024]\u001b[0m\n",
            "\u001b[32mlocalrule assigned_counts_assignBarcodes:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_2_DNA_final_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assignment/MPRAworkshop.tsv.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/merge_BC_and_assignment.py (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_2_DNA_final_counts.config.default.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/HepG2_2_DNA_default.statistic.tsv.gz\n",
            "    log: results/logs/assigned_counts/assignBarcodes.experimentMPRAworkshop.HepG2.2.DNA.default.MPRAworkshop.log\n",
            "    jobid: 39\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_2_DNA_final_counts.config.default.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/HepG2_2_DNA_default.statistic.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/HepG2_2_DNA_final_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assignment/MPRAworkshop.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, assignment=MPRAworkshop, condition=HepG2, replicate=2, type=DNA, config=default\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/6b581fe0673ef9f4220b75b42bfbd73d_\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/6b581fe0673ef9f4220b75b42bfbd73d_\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:26:35 2024]\u001b[0m\n",
            "\u001b[32mlocalrule assigned_counts_assignBarcodes:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_2_DNA_final_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assignment/MPRAworkshop.tsv.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/merge_BC_and_assignment.py (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_2_DNA_final_counts.config.tutorialConfig.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/HepG2_2_DNA_tutorialConfig.statistic.tsv.gz\n",
            "    log: results/logs/assigned_counts/assignBarcodes.experimentMPRAworkshop.HepG2.2.DNA.tutorialConfig.MPRAworkshop.log\n",
            "    jobid: 62\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_2_DNA_final_counts.config.tutorialConfig.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/HepG2_2_DNA_tutorialConfig.statistic.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/HepG2_2_DNA_final_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assignment/MPRAworkshop.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, assignment=MPRAworkshop, condition=HepG2, replicate=2, type=DNA, config=tutorialConfig\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/6b581fe0673ef9f4220b75b42bfbd73d_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:26:35 2024]\u001b[0m\n",
            "\u001b[32mFinished job 107.\u001b[0m\n",
            "\u001b[32m17 of 140 steps (12%) done\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:26:35 2024]\u001b[0m\n",
            "\u001b[32mFinished job 26.\u001b[0m\n",
            "\u001b[32m18 of 140 steps (13%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 3 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:26:35 2024]\u001b[0m\n",
            "\u001b[32mlocalrule assigned_counts_assignBarcodes:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_3_DNA_final_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assignment/MPRAworkshop.tsv.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/merge_BC_and_assignment.py (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_3_DNA_final_counts.config.tutorialConfig.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/HepG2_3_DNA_tutorialConfig.statistic.tsv.gz\n",
            "    log: results/logs/assigned_counts/assignBarcodes.experimentMPRAworkshop.HepG2.3.DNA.tutorialConfig.MPRAworkshop.log\n",
            "    jobid: 63\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/HepG2_3_DNA_tutorialConfig.statistic.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_3_DNA_final_counts.config.tutorialConfig.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/HepG2_3_DNA_final_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assignment/MPRAworkshop.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, assignment=MPRAworkshop, condition=HepG2, replicate=3, type=DNA, config=tutorialConfig\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/6b581fe0673ef9f4220b75b42bfbd73d_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:26:35 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_counts_barcode_base_composition:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_3_DNA_final_counts.tsv.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/nucleotideCountPerPosition.py (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/counts/HepG2_3_DNA_final.BC.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/counts/BCNucleotideComposition.HepG2_3_DNA.tsv.gz\n",
            "    log: results/logs/statistic/counts/barcode_base_composition.experimentMPRAworkshop.HepG2_3_DNA.log\n",
            "    jobid: 77\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/counts/BCNucleotideComposition.HepG2_3_DNA.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/HepG2_3_DNA_final_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, replicate=3, type=DNA\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/6b581fe0673ef9f4220b75b42bfbd73d_\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:26:35 2024]\u001b[0m\n",
            "\u001b[32mlocalrule assigned_counts_assignBarcodes:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_3_DNA_final_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assignment/MPRAworkshop.tsv.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/merge_BC_and_assignment.py (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_3_DNA_final_counts.config.default.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/HepG2_3_DNA_default.statistic.tsv.gz\n",
            "    log: results/logs/assigned_counts/assignBarcodes.experimentMPRAworkshop.HepG2.3.DNA.default.MPRAworkshop.log\n",
            "    jobid: 40\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_3_DNA_final_counts.config.default.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/HepG2_3_DNA_default.statistic.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/HepG2_3_DNA_final_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assignment/MPRAworkshop.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, assignment=MPRAworkshop, condition=HepG2, replicate=3, type=DNA, config=default\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/6b581fe0673ef9f4220b75b42bfbd73d_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:26:41 2024]\u001b[0m\n",
            "\u001b[32mFinished job 6.\u001b[0m\n",
            "\u001b[32m19 of 140 steps (14%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:26:41 2024]\u001b[0m\n",
            "\u001b[32mlocalrule counts_final_counts:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_1_DNA_filtered_counts.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/counts/HepG2_1_DNA_final_counts.tsv.gz\n",
            "    log: results/logs/counts/final_counts_umi.experimentMPRAworkshop.HepG2.1.DNA.log\n",
            "    jobid: 5\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/counts/HepG2_1_DNA_final_counts.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/HepG2_1_DNA_filtered_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, replicate=1, type=DNA\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:26:43 2024]\u001b[0m\n",
            "\u001b[32mFinished job 5.\u001b[0m\n",
            "\u001b[32m20 of 140 steps (14%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:26:44 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_counts_barcode_base_composition:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_1_DNA_final_counts.tsv.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/nucleotideCountPerPosition.py (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/counts/HepG2_1_DNA_final.BC.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/counts/BCNucleotideComposition.HepG2_1_DNA.tsv.gz\n",
            "    log: results/logs/statistic/counts/barcode_base_composition.experimentMPRAworkshop.HepG2_1_DNA.log\n",
            "    jobid: 73\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/counts/BCNucleotideComposition.HepG2_1_DNA.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/HepG2_1_DNA_final_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, replicate=1, type=DNA\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/6b581fe0673ef9f4220b75b42bfbd73d_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:27:02 2024]\u001b[0m\n",
            "\u001b[32mFinished job 62.\u001b[0m\n",
            "\u001b[32m21 of 140 steps (15%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:27:02 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_counts_frequent_umis:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_1_DNA_filtered_counts.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/counts.freqUMIs.HepG2_1_DNA.txt\n",
            "    log: results/logs/statistic/counts/frequent_umis.experimentMPRAworkshop.HepG2.1.DNA.log\n",
            "    jobid: 103\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/counts.freqUMIs.HepG2_1_DNA.txt; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/HepG2_1_DNA_filtered_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, replicate=1, type=DNA\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:27:03 2024]\u001b[0m\n",
            "\u001b[32mFinished job 63.\u001b[0m\n",
            "\u001b[32m22 of 140 steps (16%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:27:03 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_bc_overlap_run:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_1_DNA_final_counts.tsv.gz, results/experiments/experimentMPRAworkshop/counts/HepG2_2_DNA_final_counts.tsv.gz, results/experiments/experimentMPRAworkshop/counts/HepG2_3_DNA_final_counts.tsv.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/BCCounts_betweenReplicates.R (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/bc_overlap/counts/overlapBCandCounts.HepG2_DNA.default.tsv\n",
            "    log: results/logs/statistic/bc_overlap/run.experimentMPRAworkshop.HepG2.DNA.default.counts.log\n",
            "    jobid: 115\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/bc_overlap/counts/overlapBCandCounts.HepG2_DNA.default.tsv; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/HepG2_1_DNA_final_counts.tsv.gz, results/experiments/experimentMPRAworkshop/counts/HepG2_2_DNA_final_counts.tsv.gz, results/experiments/experimentMPRAworkshop/counts/HepG2_3_DNA_final_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, raw_or_assigned=counts, condition=HepG2, type=DNA, config=default\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/a97672b6846360f00f0e85ee53a46950_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:27:04 2024]\u001b[0m\n",
            "\u001b[32mFinished job 103.\u001b[0m\n",
            "\u001b[32m23 of 140 steps (16%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:27:04 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_bc_overlap_run:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_1_DNA_final_counts.tsv.gz, results/experiments/experimentMPRAworkshop/counts/HepG2_2_DNA_final_counts.tsv.gz, results/experiments/experimentMPRAworkshop/counts/HepG2_3_DNA_final_counts.tsv.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/BCCounts_betweenReplicates.R (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/bc_overlap/counts/overlapBCandCounts.HepG2_DNA.tutorialConfig.tsv\n",
            "    log: results/logs/statistic/bc_overlap/run.experimentMPRAworkshop.HepG2.DNA.tutorialConfig.counts.log\n",
            "    jobid: 118\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/bc_overlap/counts/overlapBCandCounts.HepG2_DNA.tutorialConfig.tsv; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/HepG2_1_DNA_final_counts.tsv.gz, results/experiments/experimentMPRAworkshop/counts/HepG2_2_DNA_final_counts.tsv.gz, results/experiments/experimentMPRAworkshop/counts/HepG2_3_DNA_final_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, raw_or_assigned=counts, condition=HepG2, type=DNA, config=tutorialConfig\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/a97672b6846360f00f0e85ee53a46950_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:27:05 2024]\u001b[0m\n",
            "\u001b[32mFinished job 39.\u001b[0m\n",
            "\u001b[32m24 of 140 steps (17%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:27:05 2024]\u001b[0m\n",
            "\u001b[32mlocalrule assigned_counts_assignBarcodes:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_1_DNA_final_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assignment/MPRAworkshop.tsv.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/merge_BC_and_assignment.py (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_1_DNA_final_counts.config.tutorialConfig.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/HepG2_1_DNA_tutorialConfig.statistic.tsv.gz\n",
            "    log: results/logs/assigned_counts/assignBarcodes.experimentMPRAworkshop.HepG2.1.DNA.tutorialConfig.MPRAworkshop.log\n",
            "    jobid: 61\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/HepG2_1_DNA_tutorialConfig.statistic.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_1_DNA_final_counts.config.tutorialConfig.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/HepG2_1_DNA_final_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assignment/MPRAworkshop.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, assignment=MPRAworkshop, condition=HepG2, replicate=1, type=DNA, config=tutorialConfig\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/6b581fe0673ef9f4220b75b42bfbd73d_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:27:07 2024]\u001b[0m\n",
            "\u001b[32mFinished job 40.\u001b[0m\n",
            "\u001b[32m25 of 140 steps (18%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:27:07 2024]\u001b[0m\n",
            "\u001b[32mlocalrule assigned_counts_assignBarcodes:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_1_DNA_final_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assignment/MPRAworkshop.tsv.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/merge_BC_and_assignment.py (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_1_DNA_final_counts.config.default.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/HepG2_1_DNA_default.statistic.tsv.gz\n",
            "    log: results/logs/assigned_counts/assignBarcodes.experimentMPRAworkshop.HepG2.1.DNA.default.MPRAworkshop.log\n",
            "    jobid: 38\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_1_DNA_final_counts.config.default.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/HepG2_1_DNA_default.statistic.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/HepG2_1_DNA_final_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assignment/MPRAworkshop.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, assignment=MPRAworkshop, condition=HepG2, replicate=1, type=DNA, config=default\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/6b581fe0673ef9f4220b75b42bfbd73d_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:27:15 2024]\u001b[0m\n",
            "\u001b[32mFinished job 118.\u001b[0m\n",
            "\u001b[32m26 of 140 steps (19%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:27:15 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_counts_table:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_1_DNA_filtered_counts.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_1_DNA_filtered_counts.tsv.gz\n",
            "    log: results/logs/statistic/counts/table.experimentMPRAworkshop.HepG2_1_DNA_filtered.log\n",
            "    jobid: 92\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_1_DNA_filtered_counts.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/HepG2_1_DNA_filtered_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, replicate=1, type=DNA, countType=filtered\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:27:15 2024]\u001b[0m\n",
            "\u001b[32mFinished job 115.\u001b[0m\n",
            "\u001b[32m27 of 140 steps (19%) done\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:27:16 2024]\u001b[0m\n",
            "\u001b[32mFinished job 92.\u001b[0m\n",
            "\u001b[32m28 of 140 steps (20%) done\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:27:19 2024]\u001b[0m\n",
            "\u001b[32mFinished job 77.\u001b[0m\n",
            "\u001b[32m29 of 140 steps (21%) done\u001b[0m\n",
            "\u001b[33mRemoving temporary output results/experiments/experimentMPRAworkshop/counts/HepG2_3_DNA_final.BC.tsv.gz.\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:27:24 2024]\u001b[0m\n",
            "\u001b[32mFinished job 75.\u001b[0m\n",
            "\u001b[32m30 of 140 steps (21%) done\u001b[0m\n",
            "\u001b[33mRemoving temporary output results/experiments/experimentMPRAworkshop/counts/HepG2_2_DNA_final.BC.tsv.gz.\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:27:28 2024]\u001b[0m\n",
            "\u001b[32mFinished job 61.\u001b[0m\n",
            "\u001b[32m31 of 140 steps (22%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:27:28 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_bc_overlap_run:\n",
            "    input: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_1_DNA_final_counts.config.tutorialConfig.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_2_DNA_final_counts.config.tutorialConfig.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_3_DNA_final_counts.config.tutorialConfig.tsv.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/BCCounts_betweenReplicates.R (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/bc_overlap/assigned_counts/MPRAworkshop/overlapBCandCounts.HepG2_DNA.tutorialConfig.tsv\n",
            "    log: results/logs/statistic/bc_overlap/run.experimentMPRAworkshop.HepG2.DNA.tutorialConfig.assigned_counts/MPRAworkshop.log\n",
            "    jobid: 128\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/bc_overlap/assigned_counts/MPRAworkshop/overlapBCandCounts.HepG2_DNA.tutorialConfig.tsv; Input files updated by another job: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_1_DNA_final_counts.config.tutorialConfig.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_2_DNA_final_counts.config.tutorialConfig.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_3_DNA_final_counts.config.tutorialConfig.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, raw_or_assigned=assigned_counts/MPRAworkshop, condition=HepG2, type=DNA, config=tutorialConfig\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/a97672b6846360f00f0e85ee53a46950_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:27:28 2024]\u001b[0m\n",
            "\u001b[32mFinished job 73.\u001b[0m\n",
            "\u001b[32m32 of 140 steps (23%) done\u001b[0m\n",
            "\u001b[33mRemoving temporary output results/experiments/experimentMPRAworkshop/counts/HepG2_1_DNA_final.BC.tsv.gz.\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:27:31 2024]\u001b[0m\n",
            "\u001b[32mFinished job 38.\u001b[0m\n",
            "\u001b[32m33 of 140 steps (24%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:27:31 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_bc_overlap_run:\n",
            "    input: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_1_DNA_final_counts.config.default.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_2_DNA_final_counts.config.default.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_3_DNA_final_counts.config.default.tsv.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/BCCounts_betweenReplicates.R (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/bc_overlap/assigned_counts/MPRAworkshop/overlapBCandCounts.HepG2_DNA.default.tsv\n",
            "    log: results/logs/statistic/bc_overlap/run.experimentMPRAworkshop.HepG2.DNA.default.assigned_counts/MPRAworkshop.log\n",
            "    jobid: 125\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/bc_overlap/assigned_counts/MPRAworkshop/overlapBCandCounts.HepG2_DNA.default.tsv; Input files updated by another job: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_2_DNA_final_counts.config.default.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_3_DNA_final_counts.config.default.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_1_DNA_final_counts.config.default.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, raw_or_assigned=assigned_counts/MPRAworkshop, condition=HepG2, type=DNA, config=default\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/a97672b6846360f00f0e85ee53a46950_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:27:32 2024]\u001b[0m\n",
            "\u001b[32mFinished job 128.\u001b[0m\n",
            "\u001b[32m34 of 140 steps (24%) done\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:27:35 2024]\u001b[0m\n",
            "\u001b[32mFinished job 125.\u001b[0m\n",
            "\u001b[32m35 of 140 steps (25%) done\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:31:30 2024]\u001b[0m\n",
            "\u001b[32mFinished job 23.\u001b[0m\n",
            "\u001b[32m36 of 140 steps (26%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:31:30 2024]\u001b[0m\n",
            "\u001b[32mlocalrule counts_umi_raw_counts:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_2_RNA.bam\n",
            "    output: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_2_RNA_raw_counts.tsv.gz\n",
            "    log: results/logs/counts/umi/raw_counts.experimentMPRAworkshop.HepG2.2.RNA.log\n",
            "    jobid: 22\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_2_RNA_raw_counts.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_2_RNA.bam\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, replicate=2, type=RNA\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/50b61aef61c0c65fd933378d537fa1ad_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:31:36 2024]\u001b[0m\n",
            "\u001b[32mFinished job 12.\u001b[0m\n",
            "\u001b[32m37 of 140 steps (26%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:31:36 2024]\u001b[0m\n",
            "\u001b[32mlocalrule counts_umi_raw_counts:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_1_RNA.bam\n",
            "    output: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_1_RNA_raw_counts.tsv.gz\n",
            "    log: results/logs/counts/umi/raw_counts.experimentMPRAworkshop.HepG2.1.RNA.log\n",
            "    jobid: 11\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_1_RNA_raw_counts.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_1_RNA.bam\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, replicate=1, type=RNA\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/50b61aef61c0c65fd933378d537fa1ad_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:31:44 2024]\u001b[0m\n",
            "\u001b[32mFinished job 22.\u001b[0m\n",
            "\u001b[32m38 of 140 steps (27%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 3 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:31:44 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_counts_table:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_2_RNA_raw_counts.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_2_RNA_raw_counts.tsv.gz\n",
            "    log: results/logs/statistic/counts/table.experimentMPRAworkshop.HepG2_2_RNA_raw.log\n",
            "    jobid: 83\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_2_RNA_raw_counts.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_2_RNA_raw_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, replicate=2, type=RNA, countType=raw\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:31:44 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_counts_BC_in_RNA_DNA:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_2_DNA_raw_counts.tsv.gz, results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_2_RNA_raw_counts.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_2_raw_BC_in_RNA_DNA.tsv.gz\n",
            "    log: results/logs/statistic/counts/BC_in_RNA_DNA.experimentMPRAworkshop.HepG2_2_raw.log\n",
            "    jobid: 88\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_2_raw_BC_in_RNA_DNA.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_2_DNA_raw_counts.tsv.gz, results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_2_RNA_raw_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, replicate=2, countType=raw\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:31:44 2024]\u001b[0m\n",
            "\u001b[32mlocalrule counts_filter_counts:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_2_RNA_raw_counts.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/counts/HepG2_2_RNA_filtered_counts.tsv.gz\n",
            "    log: results/logs/counts/filter_counts.experimentMPRAworkshop.HepG2.2.RNA.log\n",
            "    jobid: 21\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/counts/HepG2_2_RNA_filtered_counts.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_2_RNA_raw_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, replicate=2, type=RNA\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "15\n",
            "\u001b[32m[Wed Sep 18 14:31:46 2024]\u001b[0m\n",
            "\u001b[32mFinished job 88.\u001b[0m\n",
            "\u001b[32m39 of 140 steps (28%) done\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:31:47 2024]\u001b[0m\n",
            "\u001b[32mFinished job 83.\u001b[0m\n",
            "\u001b[32m40 of 140 steps (29%) done\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:31:50 2024]\u001b[0m\n",
            "\u001b[32mFinished job 11.\u001b[0m\n",
            "\u001b[32m41 of 140 steps (29%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 3 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:31:50 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_counts_table:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_1_RNA_raw_counts.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_1_RNA_raw_counts.tsv.gz\n",
            "    log: results/logs/statistic/counts/table.experimentMPRAworkshop.HepG2_1_RNA_raw.log\n",
            "    jobid: 81\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_1_RNA_raw_counts.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_1_RNA_raw_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, replicate=1, type=RNA, countType=raw\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:31:50 2024]\u001b[0m\n",
            "\u001b[32mlocalrule counts_filter_counts:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_1_RNA_raw_counts.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/counts/HepG2_1_RNA_filtered_counts.tsv.gz\n",
            "    log: results/logs/counts/filter_counts.experimentMPRAworkshop.HepG2.1.RNA.log\n",
            "    jobid: 10\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/counts/HepG2_1_RNA_filtered_counts.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_1_RNA_raw_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, replicate=1, type=RNA\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:31:50 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_counts_BC_in_RNA_DNA:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_1_DNA_raw_counts.tsv.gz, results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_1_RNA_raw_counts.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_1_raw_BC_in_RNA_DNA.tsv.gz\n",
            "    log: results/logs/statistic/counts/BC_in_RNA_DNA.experimentMPRAworkshop.HepG2_1_raw.log\n",
            "    jobid: 87\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_1_raw_BC_in_RNA_DNA.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_1_RNA_raw_counts.tsv.gz, results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_1_DNA_raw_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, replicate=1, countType=raw\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "15\n",
            "\u001b[32m[Wed Sep 18 14:31:52 2024]\u001b[0m\n",
            "\u001b[32mFinished job 87.\u001b[0m\n",
            "\u001b[32m42 of 140 steps (30%) done\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:31:52 2024]\u001b[0m\n",
            "\u001b[32mFinished job 81.\u001b[0m\n",
            "\u001b[32m43 of 140 steps (31%) done\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:31:53 2024]\u001b[0m\n",
            "\u001b[32mFinished job 21.\u001b[0m\n",
            "\u001b[32m44 of 140 steps (31%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 4 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:31:53 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_counts_frequent_umis:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_2_RNA_filtered_counts.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/counts.freqUMIs.HepG2_2_RNA.txt\n",
            "    log: results/logs/statistic/counts/frequent_umis.experimentMPRAworkshop.HepG2.2.RNA.log\n",
            "    jobid: 104\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/counts.freqUMIs.HepG2_2_RNA.txt; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/HepG2_2_RNA_filtered_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, replicate=2, type=RNA\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:31:53 2024]\u001b[0m\n",
            "\u001b[32mlocalrule counts_final_counts:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_2_RNA_filtered_counts.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/counts/HepG2_2_RNA_final_counts.tsv.gz\n",
            "    log: results/logs/counts/final_counts_umi.experimentMPRAworkshop.HepG2.2.RNA.log\n",
            "    jobid: 20\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/counts/HepG2_2_RNA_final_counts.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/HepG2_2_RNA_filtered_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, replicate=2, type=RNA\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:31:53 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_counts_BC_in_RNA_DNA:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_2_DNA_filtered_counts.tsv.gz, results/experiments/experimentMPRAworkshop/counts/HepG2_2_RNA_filtered_counts.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_2_filtered_BC_in_RNA_DNA.tsv.gz\n",
            "    log: results/logs/statistic/counts/BC_in_RNA_DNA.experimentMPRAworkshop.HepG2_2_filtered.log\n",
            "    jobid: 100\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_2_filtered_BC_in_RNA_DNA.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/HepG2_2_DNA_filtered_counts.tsv.gz, results/experiments/experimentMPRAworkshop/counts/HepG2_2_RNA_filtered_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, replicate=2, countType=filtered\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:31:53 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_counts_table:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_2_RNA_filtered_counts.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_2_RNA_filtered_counts.tsv.gz\n",
            "    log: results/logs/statistic/counts/table.experimentMPRAworkshop.HepG2_2_RNA_filtered.log\n",
            "    jobid: 95\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_2_RNA_filtered_counts.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/HepG2_2_RNA_filtered_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, replicate=2, type=RNA, countType=filtered\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:31:55 2024]\u001b[0m\n",
            "\u001b[32mFinished job 100.\u001b[0m\n",
            "\u001b[32m45 of 140 steps (32%) done\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:31:55 2024]\u001b[0m\n",
            "\u001b[32mFinished job 20.\u001b[0m\n",
            "\u001b[32m46 of 140 steps (33%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 5 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:31:55 2024]\u001b[0m\n",
            "\u001b[32mlocalrule counts_dna_rna_merge_counts:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_2_DNA_final_counts.tsv.gz, results/experiments/experimentMPRAworkshop/counts/HepG2_2_RNA_final_counts.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/counts/HepG2_2.merged.config.tutorialConfig.tsv.gz\n",
            "    log: results/logs/counts/dna_rna_merge_counts.experimentMPRAworkshop.HepG2.2.tutorialConfig.log\n",
            "    jobid: 54\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/counts/HepG2_2.merged.config.tutorialConfig.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/HepG2_2_RNA_final_counts.tsv.gz, results/experiments/experimentMPRAworkshop/counts/HepG2_2_DNA_final_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, raw_or_assigned=counts, condition=HepG2, replicate=2, config=tutorialConfig\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:31:55 2024]\u001b[0m\n",
            "\u001b[32mlocalrule counts_dna_rna_merge_counts:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_2_DNA_final_counts.tsv.gz, results/experiments/experimentMPRAworkshop/counts/HepG2_2_RNA_final_counts.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/counts/HepG2_2.merged.config.default.tsv.gz\n",
            "    log: results/logs/counts/dna_rna_merge_counts.experimentMPRAworkshop.HepG2.2.default.log\n",
            "    jobid: 15\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/counts/HepG2_2.merged.config.default.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/HepG2_2_RNA_final_counts.tsv.gz, results/experiments/experimentMPRAworkshop/counts/HepG2_2_DNA_final_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, raw_or_assigned=counts, condition=HepG2, replicate=2, config=default\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:31:55 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_counts_barcode_base_composition:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_2_RNA_final_counts.tsv.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/nucleotideCountPerPosition.py (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/counts/HepG2_2_RNA_final.BC.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/counts/BCNucleotideComposition.HepG2_2_RNA.tsv.gz\n",
            "    log: results/logs/statistic/counts/barcode_base_composition.experimentMPRAworkshop.HepG2_2_RNA.log\n",
            "    jobid: 74\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/counts/BCNucleotideComposition.HepG2_2_RNA.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/HepG2_2_RNA_final_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, replicate=2, type=RNA\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/6b581fe0673ef9f4220b75b42bfbd73d_\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:31:55 2024]\u001b[0m\n",
            "\u001b[32mlocalrule assigned_counts_assignBarcodes:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_2_RNA_final_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assignment/MPRAworkshop.tsv.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/merge_BC_and_assignment.py (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_2_RNA_final_counts.config.default.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/HepG2_2_RNA_default.statistic.tsv.gz\n",
            "    log: results/logs/assigned_counts/assignBarcodes.experimentMPRAworkshop.HepG2.2.RNA.default.MPRAworkshop.log\n",
            "    jobid: 42\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_2_RNA_final_counts.config.default.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/HepG2_2_RNA_default.statistic.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/HepG2_2_RNA_final_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assignment/MPRAworkshop.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, assignment=MPRAworkshop, condition=HepG2, replicate=2, type=RNA, config=default\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/6b581fe0673ef9f4220b75b42bfbd73d_\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:31:55 2024]\u001b[0m\n",
            "\u001b[32mlocalrule assigned_counts_assignBarcodes:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_2_RNA_final_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assignment/MPRAworkshop.tsv.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/merge_BC_and_assignment.py (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_2_RNA_final_counts.config.tutorialConfig.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/HepG2_2_RNA_tutorialConfig.statistic.tsv.gz\n",
            "    log: results/logs/assigned_counts/assignBarcodes.experimentMPRAworkshop.HepG2.2.RNA.tutorialConfig.MPRAworkshop.log\n",
            "    jobid: 65\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_2_RNA_final_counts.config.tutorialConfig.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/HepG2_2_RNA_tutorialConfig.statistic.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/HepG2_2_RNA_final_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assignment/MPRAworkshop.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, assignment=MPRAworkshop, condition=HepG2, replicate=2, type=RNA, config=tutorialConfig\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/6b581fe0673ef9f4220b75b42bfbd73d_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:31:56 2024]\u001b[0m\n",
            "\u001b[32mFinished job 95.\u001b[0m\n",
            "\u001b[32m47 of 140 steps (34%) done\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:31:56 2024]\u001b[0m\n",
            "\u001b[32mFinished job 54.\u001b[0m\n",
            "\u001b[32m48 of 140 steps (34%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:31:56 2024]\u001b[0m\n",
            "\u001b[32mlocalrule assigned_counts_dna_rna_merge:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_2.merged.config.tutorialConfig.tsv.gz, results/experiments/experimentMPRAworkshop/assignment/MPRAworkshop.tsv.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/merge_label.py (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_2_merged_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_2_barcode_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_2_merged_assigned_counts.statistic.tsv.gz\n",
            "    log: results/logs/assigned_counts/MPRAworkshop/dna_rna_merge.experimentMPRAworkshop.HepG2.2.tutorialConfig.log\n",
            "    jobid: 53\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_2_merged_assigned_counts.statistic.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_2_barcode_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_2_merged_assigned_counts.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/HepG2_2.merged.config.tutorialConfig.tsv.gz, results/experiments/experimentMPRAworkshop/assignment/MPRAworkshop.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, assignment=MPRAworkshop, config=tutorialConfig, condition=HepG2, replicate=2\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/6b581fe0673ef9f4220b75b42bfbd73d_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:31:57 2024]\u001b[0m\n",
            "\u001b[32mFinished job 15.\u001b[0m\n",
            "\u001b[32m49 of 140 steps (35%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:31:57 2024]\u001b[0m\n",
            "\u001b[32mlocalrule assigned_counts_dna_rna_merge:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_2.merged.config.default.tsv.gz, results/experiments/experimentMPRAworkshop/assignment/MPRAworkshop.tsv.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/merge_label.py (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_2_merged_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_2_barcode_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_2_merged_assigned_counts.statistic.tsv.gz\n",
            "    log: results/logs/assigned_counts/MPRAworkshop/dna_rna_merge.experimentMPRAworkshop.HepG2.2.default.log\n",
            "    jobid: 14\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_2_merged_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_2_barcode_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_2_merged_assigned_counts.statistic.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/HepG2_2.merged.config.default.tsv.gz, results/experiments/experimentMPRAworkshop/assignment/MPRAworkshop.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, assignment=MPRAworkshop, config=default, condition=HepG2, replicate=2\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/6b581fe0673ef9f4220b75b42bfbd73d_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:31:57 2024]\u001b[0m\n",
            "\u001b[32mFinished job 104.\u001b[0m\n",
            "\u001b[32m50 of 140 steps (36%) done\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:32:02 2024]\u001b[0m\n",
            "\u001b[32mFinished job 10.\u001b[0m\n",
            "\u001b[32m51 of 140 steps (36%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 4 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:32:02 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_counts_table:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_1_RNA_filtered_counts.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_1_RNA_filtered_counts.tsv.gz\n",
            "    log: results/logs/statistic/counts/table.experimentMPRAworkshop.HepG2_1_RNA_filtered.log\n",
            "    jobid: 93\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_1_RNA_filtered_counts.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/HepG2_1_RNA_filtered_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, replicate=1, type=RNA, countType=filtered\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:32:02 2024]\u001b[0m\n",
            "\u001b[32mlocalrule counts_final_counts:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_1_RNA_filtered_counts.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/counts/HepG2_1_RNA_final_counts.tsv.gz\n",
            "    log: results/logs/counts/final_counts_umi.experimentMPRAworkshop.HepG2.1.RNA.log\n",
            "    jobid: 9\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/counts/HepG2_1_RNA_final_counts.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/HepG2_1_RNA_filtered_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, replicate=1, type=RNA\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:32:02 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_counts_frequent_umis:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_1_RNA_filtered_counts.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/counts.freqUMIs.HepG2_1_RNA.txt\n",
            "    log: results/logs/statistic/counts/frequent_umis.experimentMPRAworkshop.HepG2.1.RNA.log\n",
            "    jobid: 102\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/counts.freqUMIs.HepG2_1_RNA.txt; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/HepG2_1_RNA_filtered_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, replicate=1, type=RNA\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:32:02 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_counts_BC_in_RNA_DNA:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_1_DNA_filtered_counts.tsv.gz, results/experiments/experimentMPRAworkshop/counts/HepG2_1_RNA_filtered_counts.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_1_filtered_BC_in_RNA_DNA.tsv.gz\n",
            "    log: results/logs/statistic/counts/BC_in_RNA_DNA.experimentMPRAworkshop.HepG2_1_filtered.log\n",
            "    jobid: 99\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_1_filtered_BC_in_RNA_DNA.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/HepG2_1_DNA_filtered_counts.tsv.gz, results/experiments/experimentMPRAworkshop/counts/HepG2_1_RNA_filtered_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, replicate=1, countType=filtered\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:32:02 2024]\u001b[0m\n",
            "\u001b[32mFinished job 53.\u001b[0m\n",
            "\u001b[32m52 of 140 steps (37%) done\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:32:02 2024]\u001b[0m\n",
            "\u001b[32mFinished job 14.\u001b[0m\n",
            "\u001b[32m53 of 140 steps (38%) done\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:32:04 2024]\u001b[0m\n",
            "\u001b[32mFinished job 99.\u001b[0m\n",
            "\u001b[32m54 of 140 steps (39%) done\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:32:04 2024]\u001b[0m\n",
            "\u001b[32mFinished job 9.\u001b[0m\n",
            "\u001b[32m55 of 140 steps (39%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 4 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:32:04 2024]\u001b[0m\n",
            "\u001b[32mlocalrule counts_dna_rna_merge_counts:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_1_DNA_final_counts.tsv.gz, results/experiments/experimentMPRAworkshop/counts/HepG2_1_RNA_final_counts.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/counts/HepG2_1.merged.config.tutorialConfig.tsv.gz\n",
            "    log: results/logs/counts/dna_rna_merge_counts.experimentMPRAworkshop.HepG2.1.tutorialConfig.log\n",
            "    jobid: 52\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/counts/HepG2_1.merged.config.tutorialConfig.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/HepG2_1_RNA_final_counts.tsv.gz, results/experiments/experimentMPRAworkshop/counts/HepG2_1_DNA_final_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, raw_or_assigned=counts, condition=HepG2, replicate=1, config=tutorialConfig\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:32:04 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_counts_barcode_base_composition:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_1_RNA_final_counts.tsv.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/nucleotideCountPerPosition.py (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/counts/HepG2_1_RNA_final.BC.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/counts/BCNucleotideComposition.HepG2_1_RNA.tsv.gz\n",
            "    log: results/logs/statistic/counts/barcode_base_composition.experimentMPRAworkshop.HepG2_1_RNA.log\n",
            "    jobid: 72\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/counts/BCNucleotideComposition.HepG2_1_RNA.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/HepG2_1_RNA_final_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, replicate=1, type=RNA\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/6b581fe0673ef9f4220b75b42bfbd73d_\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:32:04 2024]\u001b[0m\n",
            "\u001b[32mlocalrule counts_dna_rna_merge_counts:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_1_DNA_final_counts.tsv.gz, results/experiments/experimentMPRAworkshop/counts/HepG2_1_RNA_final_counts.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/counts/HepG2_1.merged.config.default.tsv.gz\n",
            "    log: results/logs/counts/dna_rna_merge_counts.experimentMPRAworkshop.HepG2.1.default.log\n",
            "    jobid: 4\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/counts/HepG2_1.merged.config.default.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/HepG2_1_RNA_final_counts.tsv.gz, results/experiments/experimentMPRAworkshop/counts/HepG2_1_DNA_final_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, raw_or_assigned=counts, condition=HepG2, replicate=1, config=default\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:32:04 2024]\u001b[0m\n",
            "\u001b[32mlocalrule assigned_counts_assignBarcodes:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_1_RNA_final_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assignment/MPRAworkshop.tsv.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/merge_BC_and_assignment.py (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_1_RNA_final_counts.config.default.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/HepG2_1_RNA_default.statistic.tsv.gz\n",
            "    log: results/logs/assigned_counts/assignBarcodes.experimentMPRAworkshop.HepG2.1.RNA.default.MPRAworkshop.log\n",
            "    jobid: 41\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_1_RNA_final_counts.config.default.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/HepG2_1_RNA_default.statistic.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/HepG2_1_RNA_final_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assignment/MPRAworkshop.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, assignment=MPRAworkshop, condition=HepG2, replicate=1, type=RNA, config=default\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/6b581fe0673ef9f4220b75b42bfbd73d_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:32:05 2024]\u001b[0m\n",
            "\u001b[32mFinished job 93.\u001b[0m\n",
            "\u001b[32m56 of 140 steps (40%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:32:05 2024]\u001b[0m\n",
            "\u001b[32mlocalrule assigned_counts_assignBarcodes:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_1_RNA_final_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assignment/MPRAworkshop.tsv.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/merge_BC_and_assignment.py (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_1_RNA_final_counts.config.tutorialConfig.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/HepG2_1_RNA_tutorialConfig.statistic.tsv.gz\n",
            "    log: results/logs/assigned_counts/assignBarcodes.experimentMPRAworkshop.HepG2.1.RNA.tutorialConfig.MPRAworkshop.log\n",
            "    jobid: 64\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/HepG2_1_RNA_tutorialConfig.statistic.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_1_RNA_final_counts.config.tutorialConfig.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/HepG2_1_RNA_final_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assignment/MPRAworkshop.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, assignment=MPRAworkshop, condition=HepG2, replicate=1, type=RNA, config=tutorialConfig\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/6b581fe0673ef9f4220b75b42bfbd73d_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:32:06 2024]\u001b[0m\n",
            "\u001b[32mFinished job 52.\u001b[0m\n",
            "\u001b[32m57 of 140 steps (41%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:32:06 2024]\u001b[0m\n",
            "\u001b[32mlocalrule assigned_counts_dna_rna_merge:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_1.merged.config.tutorialConfig.tsv.gz, results/experiments/experimentMPRAworkshop/assignment/MPRAworkshop.tsv.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/merge_label.py (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_1_merged_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_1_barcode_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_1_merged_assigned_counts.statistic.tsv.gz\n",
            "    log: results/logs/assigned_counts/MPRAworkshop/dna_rna_merge.experimentMPRAworkshop.HepG2.1.tutorialConfig.log\n",
            "    jobid: 51\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_1_merged_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_1_barcode_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_1_merged_assigned_counts.statistic.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/HepG2_1.merged.config.tutorialConfig.tsv.gz, results/experiments/experimentMPRAworkshop/assignment/MPRAworkshop.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, assignment=MPRAworkshop, config=tutorialConfig, condition=HepG2, replicate=1\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/6b581fe0673ef9f4220b75b42bfbd73d_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:32:06 2024]\u001b[0m\n",
            "\u001b[32mFinished job 4.\u001b[0m\n",
            "\u001b[32m58 of 140 steps (41%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:32:06 2024]\u001b[0m\n",
            "\u001b[32mlocalrule assigned_counts_dna_rna_merge:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_1.merged.config.default.tsv.gz, results/experiments/experimentMPRAworkshop/assignment/MPRAworkshop.tsv.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/merge_label.py (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_1_merged_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_1_barcode_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_1_merged_assigned_counts.statistic.tsv.gz\n",
            "    log: results/logs/assigned_counts/MPRAworkshop/dna_rna_merge.experimentMPRAworkshop.HepG2.1.default.log\n",
            "    jobid: 3\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_1_merged_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_1_merged_assigned_counts.statistic.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_1_barcode_assigned_counts.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/HepG2_1.merged.config.default.tsv.gz, results/experiments/experimentMPRAworkshop/assignment/MPRAworkshop.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, assignment=MPRAworkshop, config=default, condition=HepG2, replicate=1\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/6b581fe0673ef9f4220b75b42bfbd73d_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:32:06 2024]\u001b[0m\n",
            "\u001b[32mFinished job 102.\u001b[0m\n",
            "\u001b[32m59 of 140 steps (42%) done\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:32:12 2024]\u001b[0m\n",
            "\u001b[32mFinished job 51.\u001b[0m\n",
            "\u001b[32m60 of 140 steps (43%) done\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:32:12 2024]\u001b[0m\n",
            "\u001b[32mFinished job 3.\u001b[0m\n",
            "\u001b[32m61 of 140 steps (44%) done\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:32:17 2024]\u001b[0m\n",
            "\u001b[32mFinished job 42.\u001b[0m\n",
            "\u001b[32m62 of 140 steps (44%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:32:17 2024]\u001b[0m\n",
            "\u001b[32mlocalrule counts_dna_rna_merge_counts:\n",
            "    input: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_2_DNA_final_counts.config.default.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_2_RNA_final_counts.config.default.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_2.merged.config.default.tsv.gz\n",
            "    log: results/logs/assigned_counts/MPRAworkshop/dna_rna_merge_counts.experimentMPRAworkshop.HepG2.2.default.log\n",
            "    jobid: 46\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_2.merged.config.default.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_2_RNA_final_counts.config.default.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_2_DNA_final_counts.config.default.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, raw_or_assigned=assigned_counts/MPRAworkshop, condition=HepG2, replicate=2, config=default\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:32:18 2024]\u001b[0m\n",
            "\u001b[32mFinished job 65.\u001b[0m\n",
            "\u001b[32m63 of 140 steps (45%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:32:18 2024]\u001b[0m\n",
            "\u001b[32mlocalrule counts_dna_rna_merge_counts:\n",
            "    input: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_2_DNA_final_counts.config.tutorialConfig.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_2_RNA_final_counts.config.tutorialConfig.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_2.merged.config.tutorialConfig.tsv.gz\n",
            "    log: results/logs/assigned_counts/MPRAworkshop/dna_rna_merge_counts.experimentMPRAworkshop.HepG2.2.tutorialConfig.log\n",
            "    jobid: 69\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_2.merged.config.tutorialConfig.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_2_RNA_final_counts.config.tutorialConfig.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_2_DNA_final_counts.config.tutorialConfig.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, raw_or_assigned=assigned_counts/MPRAworkshop, condition=HepG2, replicate=2, config=tutorialConfig\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:32:18 2024]\u001b[0m\n",
            "\u001b[32mFinished job 46.\u001b[0m\n",
            "\u001b[32m64 of 140 steps (46%) done\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:32:18 2024]\u001b[0m\n",
            "\u001b[32mFinished job 69.\u001b[0m\n",
            "\u001b[32m65 of 140 steps (46%) done\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:32:20 2024]\u001b[0m\n",
            "\u001b[32mFinished job 33.\u001b[0m\n",
            "\u001b[32m66 of 140 steps (47%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:32:20 2024]\u001b[0m\n",
            "\u001b[32mlocalrule counts_umi_raw_counts:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_3_RNA.bam\n",
            "    output: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_3_RNA_raw_counts.tsv.gz\n",
            "    log: results/logs/counts/umi/raw_counts.experimentMPRAworkshop.HepG2.3.RNA.log\n",
            "    jobid: 32\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_3_RNA_raw_counts.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_3_RNA.bam\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, replicate=3, type=RNA\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/50b61aef61c0c65fd933378d537fa1ad_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:32:25 2024]\u001b[0m\n",
            "\u001b[32mFinished job 41.\u001b[0m\n",
            "\u001b[32m67 of 140 steps (48%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:32:25 2024]\u001b[0m\n",
            "\u001b[32mlocalrule counts_dna_rna_merge_counts:\n",
            "    input: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_1_DNA_final_counts.config.default.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_1_RNA_final_counts.config.default.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_1.merged.config.default.tsv.gz\n",
            "    log: results/logs/assigned_counts/MPRAworkshop/dna_rna_merge_counts.experimentMPRAworkshop.HepG2.1.default.log\n",
            "    jobid: 45\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_1.merged.config.default.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_1_RNA_final_counts.config.default.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_1_DNA_final_counts.config.default.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, raw_or_assigned=assigned_counts/MPRAworkshop, condition=HepG2, replicate=1, config=default\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:32:26 2024]\u001b[0m\n",
            "\u001b[32mFinished job 45.\u001b[0m\n",
            "\u001b[32m68 of 140 steps (49%) done\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:32:26 2024]\u001b[0m\n",
            "\u001b[32mFinished job 64.\u001b[0m\n",
            "\u001b[32m69 of 140 steps (49%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:32:26 2024]\u001b[0m\n",
            "\u001b[32mlocalrule counts_dna_rna_merge_counts:\n",
            "    input: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_1_DNA_final_counts.config.tutorialConfig.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_1_RNA_final_counts.config.tutorialConfig.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_1.merged.config.tutorialConfig.tsv.gz\n",
            "    log: results/logs/assigned_counts/MPRAworkshop/dna_rna_merge_counts.experimentMPRAworkshop.HepG2.1.tutorialConfig.log\n",
            "    jobid: 68\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_1.merged.config.tutorialConfig.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_1_DNA_final_counts.config.tutorialConfig.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_1_RNA_final_counts.config.tutorialConfig.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, raw_or_assigned=assigned_counts/MPRAworkshop, condition=HepG2, replicate=1, config=tutorialConfig\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:32:26 2024]\u001b[0m\n",
            "\u001b[32mFinished job 68.\u001b[0m\n",
            "\u001b[32m70 of 140 steps (50%) done\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:32:28 2024]\u001b[0m\n",
            "\u001b[32mFinished job 74.\u001b[0m\n",
            "\u001b[32m71 of 140 steps (51%) done\u001b[0m\n",
            "\u001b[33mRemoving temporary output results/experiments/experimentMPRAworkshop/counts/HepG2_2_RNA_final.BC.tsv.gz.\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:32:31 2024]\u001b[0m\n",
            "\u001b[32mFinished job 72.\u001b[0m\n",
            "\u001b[32m72 of 140 steps (51%) done\u001b[0m\n",
            "\u001b[33mRemoving temporary output results/experiments/experimentMPRAworkshop/counts/HepG2_1_RNA_final.BC.tsv.gz.\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:32:33 2024]\u001b[0m\n",
            "\u001b[32mFinished job 32.\u001b[0m\n",
            "\u001b[32m73 of 140 steps (52%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 3 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:32:33 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_counts_table:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_3_RNA_raw_counts.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_3_RNA_raw_counts.tsv.gz\n",
            "    log: results/logs/statistic/counts/table.experimentMPRAworkshop.HepG2_3_RNA_raw.log\n",
            "    jobid: 85\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_3_RNA_raw_counts.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_3_RNA_raw_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, replicate=3, type=RNA, countType=raw\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:32:33 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_counts_BC_in_RNA_DNA:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_3_DNA_raw_counts.tsv.gz, results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_3_RNA_raw_counts.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_3_raw_BC_in_RNA_DNA.tsv.gz\n",
            "    log: results/logs/statistic/counts/BC_in_RNA_DNA.experimentMPRAworkshop.HepG2_3_raw.log\n",
            "    jobid: 89\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_3_raw_BC_in_RNA_DNA.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_3_RNA_raw_counts.tsv.gz, results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_3_DNA_raw_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, replicate=3, countType=raw\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:32:33 2024]\u001b[0m\n",
            "\u001b[32mlocalrule counts_filter_counts:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_3_RNA_raw_counts.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/counts/HepG2_3_RNA_filtered_counts.tsv.gz\n",
            "    log: results/logs/counts/filter_counts.experimentMPRAworkshop.HepG2.3.RNA.log\n",
            "    jobid: 31\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/counts/HepG2_3_RNA_filtered_counts.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/useUMI.HepG2_3_RNA_raw_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, replicate=3, type=RNA\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "15\n",
            "\u001b[32m[Wed Sep 18 14:32:34 2024]\u001b[0m\n",
            "\u001b[32mFinished job 89.\u001b[0m\n",
            "\u001b[32m74 of 140 steps (53%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:32:34 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_counts_BC_in_RNA_DNA_merge:\n",
            "    input: results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_1_raw_BC_in_RNA_DNA.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_2_raw_BC_in_RNA_DNA.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_3_raw_BC_in_RNA_DNA.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/counts/BC_in_RNA_DNA_raw.tsv\n",
            "    log: results/logs/statistic/counts/BC_in_RNA_DNA_merge.experimentMPRAworkshop.raw.log\n",
            "    jobid: 86\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/counts/BC_in_RNA_DNA_raw.tsv; Input files updated by another job: results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_2_raw_BC_in_RNA_DNA.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_3_raw_BC_in_RNA_DNA.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_1_raw_BC_in_RNA_DNA.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, countType=raw\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:32:34 2024]\u001b[0m\n",
            "\u001b[32mFinished job 86.\u001b[0m\n",
            "\u001b[32m75 of 140 steps (54%) done\u001b[0m\n",
            "\u001b[33mRemoving temporary output results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_1_raw_BC_in_RNA_DNA.tsv.gz.\u001b[0m\n",
            "\u001b[33mRemoving temporary output results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_2_raw_BC_in_RNA_DNA.tsv.gz.\u001b[0m\n",
            "\u001b[33mRemoving temporary output results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_3_raw_BC_in_RNA_DNA.tsv.gz.\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:32:34 2024]\u001b[0m\n",
            "\u001b[32mFinished job 85.\u001b[0m\n",
            "\u001b[32m76 of 140 steps (54%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:32:34 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_counts_stats_merge:\n",
            "    input: results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_1_DNA_raw_counts.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_1_RNA_raw_counts.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_2_DNA_raw_counts.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_2_RNA_raw_counts.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_3_DNA_raw_counts.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_3_RNA_raw_counts.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/counts/count_raw.tsv\n",
            "    log: results/logs/statistic/counts/stats_merge.experimentMPRAworkshop.raw.log\n",
            "    jobid: 79\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/counts/count_raw.tsv; Input files updated by another job: results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_1_RNA_raw_counts.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_2_DNA_raw_counts.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_3_RNA_raw_counts.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_1_DNA_raw_counts.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_2_RNA_raw_counts.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_3_DNA_raw_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, countType=raw\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:32:35 2024]\u001b[0m\n",
            "\u001b[32mFinished job 79.\u001b[0m\n",
            "\u001b[32m77 of 140 steps (55%) done\u001b[0m\n",
            "\u001b[33mRemoving temporary output results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_1_DNA_raw_counts.tsv.gz.\u001b[0m\n",
            "\u001b[33mRemoving temporary output results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_1_RNA_raw_counts.tsv.gz.\u001b[0m\n",
            "\u001b[33mRemoving temporary output results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_2_DNA_raw_counts.tsv.gz.\u001b[0m\n",
            "\u001b[33mRemoving temporary output results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_2_RNA_raw_counts.tsv.gz.\u001b[0m\n",
            "\u001b[33mRemoving temporary output results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_3_DNA_raw_counts.tsv.gz.\u001b[0m\n",
            "\u001b[33mRemoving temporary output results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_3_RNA_raw_counts.tsv.gz.\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:32:35 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_counts_final:\n",
            "    input: results/experiments/experimentMPRAworkshop/statistic/counts/count_raw.tsv, results/experiments/experimentMPRAworkshop/statistic/counts/BC_in_RNA_DNA_raw.tsv, /data/MPRAsnakeflow/workflow/rules/../scripts/count/combine_count_stats.R (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/counts.raw.tsv\n",
            "    log: results/logs/statistic/counts/final.experimentMPRAworkshop.raw.log\n",
            "    jobid: 78\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/counts.raw.tsv; Input files updated by another job: results/experiments/experimentMPRAworkshop/statistic/counts/BC_in_RNA_DNA_raw.tsv, results/experiments/experimentMPRAworkshop/statistic/counts/count_raw.tsv\n",
            "    wildcards: project=experimentMPRAworkshop, countType=raw\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/a97672b6846360f00f0e85ee53a46950_\u001b[0m\n",
            "\n",
            "Attaching package: ‘dplyr’\n",
            "\n",
            "The following objects are masked from ‘package:stats’:\n",
            "\n",
            "    filter, lag\n",
            "\n",
            "The following objects are masked from ‘package:base’:\n",
            "\n",
            "    intersect, setdiff, setequal, union\n",
            "\n",
            "\u001b[1mRows: \u001b[22m\u001b[34m6\u001b[39m \u001b[1mColumns: \u001b[22m\u001b[34m8\u001b[39m\n",
            "\u001b[36m──\u001b[39m \u001b[1mColumn specification\u001b[22m \u001b[36m────────────────────────────────────────────────────────\u001b[39m\n",
            "\u001b[1mDelimiter:\u001b[22m \"\\t\"\n",
            "\u001b[31mchr\u001b[39m (2): X1, X3\n",
            "\u001b[32mdbl\u001b[39m (6): X2, X4, X5, X6, X7, X8\n",
            "\n",
            "\u001b[36mℹ\u001b[39m Use `spec()` to retrieve the full column specification for this data.\n",
            "\u001b[36mℹ\u001b[39m Specify the column types or set `show_col_types = FALSE` to quiet this message.\n",
            "\u001b[1mRows: \u001b[22m\u001b[34m3\u001b[39m \u001b[1mColumns: \u001b[22m\u001b[34m3\u001b[39m\n",
            "\u001b[36m──\u001b[39m \u001b[1mColumn specification\u001b[22m \u001b[36m────────────────────────────────────────────────────────\u001b[39m\n",
            "\u001b[1mDelimiter:\u001b[22m \"\\t\"\n",
            "\u001b[31mchr\u001b[39m (1): X1\n",
            "\u001b[32mdbl\u001b[39m (2): X2, X3\n",
            "\n",
            "\u001b[36mℹ\u001b[39m Use `spec()` to retrieve the full column specification for this data.\n",
            "\u001b[36mℹ\u001b[39m Specify the column types or set `show_col_types = FALSE` to quiet this message.\n",
            "\u001b[1m\u001b[22mJoining with `by = join_by(Condition, Replicate)`\n",
            "\u001b[32m[Wed Sep 18 14:32:36 2024]\u001b[0m\n",
            "\u001b[32mFinished job 78.\u001b[0m\n",
            "\u001b[32m78 of 140 steps (56%) done\u001b[0m\n",
            "\u001b[33mRemoving temporary output results/experiments/experimentMPRAworkshop/statistic/counts/count_raw.tsv.\u001b[0m\n",
            "\u001b[33mRemoving temporary output results/experiments/experimentMPRAworkshop/statistic/counts/BC_in_RNA_DNA_raw.tsv.\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:32:39 2024]\u001b[0m\n",
            "\u001b[32mFinished job 31.\u001b[0m\n",
            "\u001b[32m79 of 140 steps (56%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 4 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:32:39 2024]\u001b[0m\n",
            "\u001b[32mlocalrule counts_final_counts:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_3_RNA_filtered_counts.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/counts/HepG2_3_RNA_final_counts.tsv.gz\n",
            "    log: results/logs/counts/final_counts_umi.experimentMPRAworkshop.HepG2.3.RNA.log\n",
            "    jobid: 30\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/counts/HepG2_3_RNA_final_counts.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/HepG2_3_RNA_filtered_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, replicate=3, type=RNA\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:32:39 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_counts_frequent_umis:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_3_RNA_filtered_counts.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/counts.freqUMIs.HepG2_3_RNA.txt\n",
            "    log: results/logs/statistic/counts/frequent_umis.experimentMPRAworkshop.HepG2.3.RNA.log\n",
            "    jobid: 106\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/counts.freqUMIs.HepG2_3_RNA.txt; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/HepG2_3_RNA_filtered_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, replicate=3, type=RNA\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:32:39 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_counts_BC_in_RNA_DNA:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_3_DNA_filtered_counts.tsv.gz, results/experiments/experimentMPRAworkshop/counts/HepG2_3_RNA_filtered_counts.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_3_filtered_BC_in_RNA_DNA.tsv.gz\n",
            "    log: results/logs/statistic/counts/BC_in_RNA_DNA.experimentMPRAworkshop.HepG2_3_filtered.log\n",
            "    jobid: 101\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_3_filtered_BC_in_RNA_DNA.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/HepG2_3_DNA_filtered_counts.tsv.gz, results/experiments/experimentMPRAworkshop/counts/HepG2_3_RNA_filtered_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, replicate=3, countType=filtered\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:32:39 2024]\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32mlocalrule statistic_counts_table:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_3_RNA_filtered_counts.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_3_RNA_filtered_counts.tsv.gz\n",
            "    log: results/logs/statistic/counts/table.experimentMPRAworkshop.HepG2_3_RNA_filtered.log\n",
            "    jobid: 97\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_3_RNA_filtered_counts.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/HepG2_3_RNA_filtered_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, replicate=3, type=RNA, countType=filtered\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:32:40 2024]\u001b[0m\n",
            "\u001b[32mFinished job 101.\u001b[0m\n",
            "\u001b[32m80 of 140 steps (57%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:32:40 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_counts_BC_in_RNA_DNA_merge:\n",
            "    input: results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_1_filtered_BC_in_RNA_DNA.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_2_filtered_BC_in_RNA_DNA.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_3_filtered_BC_in_RNA_DNA.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/counts/BC_in_RNA_DNA_filtered.tsv\n",
            "    log: results/logs/statistic/counts/BC_in_RNA_DNA_merge.experimentMPRAworkshop.filtered.log\n",
            "    jobid: 98\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/counts/BC_in_RNA_DNA_filtered.tsv; Input files updated by another job: results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_2_filtered_BC_in_RNA_DNA.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_1_filtered_BC_in_RNA_DNA.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_3_filtered_BC_in_RNA_DNA.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, countType=filtered\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:32:40 2024]\u001b[0m\n",
            "\u001b[32mFinished job 30.\u001b[0m\n",
            "\u001b[32m81 of 140 steps (58%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 7 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:32:40 2024]\u001b[0m\n",
            "\u001b[32mlocalrule assigned_counts_assignBarcodes:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_3_RNA_final_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assignment/MPRAworkshop.tsv.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/merge_BC_and_assignment.py (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_3_RNA_final_counts.config.default.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/HepG2_3_RNA_default.statistic.tsv.gz\n",
            "    log: results/logs/assigned_counts/assignBarcodes.experimentMPRAworkshop.HepG2.3.RNA.default.MPRAworkshop.log\n",
            "    jobid: 43\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_3_RNA_final_counts.config.default.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/HepG2_3_RNA_default.statistic.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/HepG2_3_RNA_final_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assignment/MPRAworkshop.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, assignment=MPRAworkshop, condition=HepG2, replicate=3, type=RNA, config=default\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/6b581fe0673ef9f4220b75b42bfbd73d_\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:32:40 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_bc_overlap_run:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_1_RNA_final_counts.tsv.gz, results/experiments/experimentMPRAworkshop/counts/HepG2_2_RNA_final_counts.tsv.gz, results/experiments/experimentMPRAworkshop/counts/HepG2_3_RNA_final_counts.tsv.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/BCCounts_betweenReplicates.R (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/bc_overlap/counts/overlapBCandCounts.HepG2_RNA.tutorialConfig.tsv\n",
            "    log: results/logs/statistic/bc_overlap/run.experimentMPRAworkshop.HepG2.RNA.tutorialConfig.counts.log\n",
            "    jobid: 119\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/bc_overlap/counts/overlapBCandCounts.HepG2_RNA.tutorialConfig.tsv; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/HepG2_1_RNA_final_counts.tsv.gz, results/experiments/experimentMPRAworkshop/counts/HepG2_2_RNA_final_counts.tsv.gz, results/experiments/experimentMPRAworkshop/counts/HepG2_3_RNA_final_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, raw_or_assigned=counts, condition=HepG2, type=RNA, config=tutorialConfig\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/a97672b6846360f00f0e85ee53a46950_\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:32:40 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_counts_barcode_base_composition:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_3_RNA_final_counts.tsv.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/nucleotideCountPerPosition.py (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/counts/HepG2_3_RNA_final.BC.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/counts/BCNucleotideComposition.HepG2_3_RNA.tsv.gz\n",
            "    log: results/logs/statistic/counts/barcode_base_composition.experimentMPRAworkshop.HepG2_3_RNA.log\n",
            "    jobid: 76\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/counts/BCNucleotideComposition.HepG2_3_RNA.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/HepG2_3_RNA_final_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, replicate=3, type=RNA\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/6b581fe0673ef9f4220b75b42bfbd73d_\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:32:40 2024]\u001b[0m\n",
            "\u001b[32mlocalrule assigned_counts_assignBarcodes:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_3_RNA_final_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assignment/MPRAworkshop.tsv.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/merge_BC_and_assignment.py (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_3_RNA_final_counts.config.tutorialConfig.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/HepG2_3_RNA_tutorialConfig.statistic.tsv.gz\n",
            "    log: results/logs/assigned_counts/assignBarcodes.experimentMPRAworkshop.HepG2.3.RNA.tutorialConfig.MPRAworkshop.log\n",
            "    jobid: 66\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/HepG2_3_RNA_tutorialConfig.statistic.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_3_RNA_final_counts.config.tutorialConfig.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/HepG2_3_RNA_final_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assignment/MPRAworkshop.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, assignment=MPRAworkshop, condition=HepG2, replicate=3, type=RNA, config=tutorialConfig\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/6b581fe0673ef9f4220b75b42bfbd73d_\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:32:40 2024]\u001b[0m\n",
            "\u001b[32mlocalrule counts_dna_rna_merge_counts:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_3_DNA_final_counts.tsv.gz, results/experiments/experimentMPRAworkshop/counts/HepG2_3_RNA_final_counts.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/counts/HepG2_3.merged.config.tutorialConfig.tsv.gz\n",
            "    log: results/logs/counts/dna_rna_merge_counts.experimentMPRAworkshop.HepG2.3.tutorialConfig.log\n",
            "    jobid: 56\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/counts/HepG2_3.merged.config.tutorialConfig.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/HepG2_3_RNA_final_counts.tsv.gz, results/experiments/experimentMPRAworkshop/counts/HepG2_3_DNA_final_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, raw_or_assigned=counts, condition=HepG2, replicate=3, config=tutorialConfig\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:32:40 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_bc_overlap_run:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_1_RNA_final_counts.tsv.gz, results/experiments/experimentMPRAworkshop/counts/HepG2_2_RNA_final_counts.tsv.gz, results/experiments/experimentMPRAworkshop/counts/HepG2_3_RNA_final_counts.tsv.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/BCCounts_betweenReplicates.R (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/bc_overlap/counts/overlapBCandCounts.HepG2_RNA.default.tsv\n",
            "    log: results/logs/statistic/bc_overlap/run.experimentMPRAworkshop.HepG2.RNA.default.counts.log\n",
            "    jobid: 116\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/bc_overlap/counts/overlapBCandCounts.HepG2_RNA.default.tsv; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/HepG2_1_RNA_final_counts.tsv.gz, results/experiments/experimentMPRAworkshop/counts/HepG2_2_RNA_final_counts.tsv.gz, results/experiments/experimentMPRAworkshop/counts/HepG2_3_RNA_final_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, raw_or_assigned=counts, condition=HepG2, type=RNA, config=default\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/a97672b6846360f00f0e85ee53a46950_\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:32:40 2024]\u001b[0m\n",
            "\u001b[32mlocalrule counts_dna_rna_merge_counts:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_3_DNA_final_counts.tsv.gz, results/experiments/experimentMPRAworkshop/counts/HepG2_3_RNA_final_counts.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/counts/HepG2_3.merged.config.default.tsv.gz\n",
            "    log: results/logs/counts/dna_rna_merge_counts.experimentMPRAworkshop.HepG2.3.default.log\n",
            "    jobid: 25\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/counts/HepG2_3.merged.config.default.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/HepG2_3_RNA_final_counts.tsv.gz, results/experiments/experimentMPRAworkshop/counts/HepG2_3_DNA_final_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, raw_or_assigned=counts, condition=HepG2, replicate=3, config=default\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:32:40 2024]\u001b[0m\n",
            "\u001b[32mFinished job 98.\u001b[0m\n",
            "\u001b[32m82 of 140 steps (59%) done\u001b[0m\n",
            "\u001b[33mRemoving temporary output results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_1_filtered_BC_in_RNA_DNA.tsv.gz.\u001b[0m\n",
            "\u001b[33mRemoving temporary output results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_2_filtered_BC_in_RNA_DNA.tsv.gz.\u001b[0m\n",
            "\u001b[33mRemoving temporary output results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_3_filtered_BC_in_RNA_DNA.tsv.gz.\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:32:41 2024]\u001b[0m\n",
            "\u001b[32mFinished job 97.\u001b[0m\n",
            "\u001b[32m83 of 140 steps (59%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:32:41 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_counts_stats_merge:\n",
            "    input: results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_1_DNA_filtered_counts.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_1_RNA_filtered_counts.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_2_DNA_filtered_counts.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_2_RNA_filtered_counts.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_3_DNA_filtered_counts.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_3_RNA_filtered_counts.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/counts/count_filtered.tsv\n",
            "    log: results/logs/statistic/counts/stats_merge.experimentMPRAworkshop.filtered.log\n",
            "    jobid: 91\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/counts/count_filtered.tsv; Input files updated by another job: results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_1_DNA_filtered_counts.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_1_RNA_filtered_counts.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_2_RNA_filtered_counts.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_2_DNA_filtered_counts.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_3_DNA_filtered_counts.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_3_RNA_filtered_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, countType=filtered\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:32:42 2024]\u001b[0m\n",
            "\u001b[32mFinished job 91.\u001b[0m\n",
            "\u001b[32m84 of 140 steps (60%) done\u001b[0m\n",
            "\u001b[33mRemoving temporary output results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_1_DNA_filtered_counts.tsv.gz.\u001b[0m\n",
            "\u001b[33mRemoving temporary output results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_1_RNA_filtered_counts.tsv.gz.\u001b[0m\n",
            "\u001b[33mRemoving temporary output results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_2_DNA_filtered_counts.tsv.gz.\u001b[0m\n",
            "\u001b[33mRemoving temporary output results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_2_RNA_filtered_counts.tsv.gz.\u001b[0m\n",
            "\u001b[33mRemoving temporary output results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_3_DNA_filtered_counts.tsv.gz.\u001b[0m\n",
            "\u001b[33mRemoving temporary output results/experiments/experimentMPRAworkshop/statistic/counts/HepG2_3_RNA_filtered_counts.tsv.gz.\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:32:42 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_counts_final:\n",
            "    input: results/experiments/experimentMPRAworkshop/statistic/counts/count_filtered.tsv, results/experiments/experimentMPRAworkshop/statistic/counts/BC_in_RNA_DNA_filtered.tsv, /data/MPRAsnakeflow/workflow/rules/../scripts/count/combine_count_stats.R (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/counts.filtered.tsv\n",
            "    log: results/logs/statistic/counts/final.experimentMPRAworkshop.filtered.log\n",
            "    jobid: 90\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/counts.filtered.tsv; Input files updated by another job: results/experiments/experimentMPRAworkshop/statistic/counts/BC_in_RNA_DNA_filtered.tsv, results/experiments/experimentMPRAworkshop/statistic/counts/count_filtered.tsv\n",
            "    wildcards: project=experimentMPRAworkshop, countType=filtered\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/a97672b6846360f00f0e85ee53a46950_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:32:42 2024]\u001b[0m\n",
            "\u001b[32mFinished job 56.\u001b[0m\n",
            "\u001b[32m85 of 140 steps (61%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 2 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:32:42 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_correlation_bc_counts:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_1.merged.config.tutorialConfig.tsv.gz, results/experiments/experimentMPRAworkshop/counts/HepG2_2.merged.config.tutorialConfig.tsv.gz, results/experiments/experimentMPRAworkshop/counts/HepG2_3.merged.config.tutorialConfig.tsv.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/plot_perBCCounts_correlation.R (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/barcode/counts/HepG2_tutorialConfig_barcode_DNA_pairwise.png, results/experiments/experimentMPRAworkshop/statistic/barcode/counts/HepG2_tutorialConfig_barcode_RNA_pairwise.png, results/experiments/experimentMPRAworkshop/statistic/barcode/counts/HepG2_tutorialConfig_barcode_Ratio_pairwise.png, results/experiments/experimentMPRAworkshop/statistic/barcode/counts/HepG2_tutorialConfig_barcode_correlation.tsv\n",
            "    log: results/logs/statistic/correlation/correlate_bc_counts.experimentMPRAworkshop.HepG2.tutorialConfig.counts.log\n",
            "    jobid: 111\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/barcode/counts/HepG2_tutorialConfig_barcode_correlation.tsv; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/HepG2_2.merged.config.tutorialConfig.tsv.gz, results/experiments/experimentMPRAworkshop/counts/HepG2_1.merged.config.tutorialConfig.tsv.gz, results/experiments/experimentMPRAworkshop/counts/HepG2_3.merged.config.tutorialConfig.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, raw_or_assigned=counts, condition=HepG2, config=tutorialConfig\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/a97672b6846360f00f0e85ee53a46950_\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:32:42 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_correlation_bc_counts_hist:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_1.merged.config.tutorialConfig.tsv.gz, results/experiments/experimentMPRAworkshop/counts/HepG2_2.merged.config.tutorialConfig.tsv.gz, results/experiments/experimentMPRAworkshop/counts/HepG2_3.merged.config.tutorialConfig.tsv.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/plot_perBCCounts_stats.R (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/barcode/counts/HepG2_tutorialConfig_DNA_perBarcode.png, results/experiments/experimentMPRAworkshop/statistic/barcode/counts/HepG2_tutorialConfig_RNA_perBarcode.png\n",
            "    log: results/logs/statistic/correlation/correlate_bc_counts_hist.experimentMPRAworkshop.HepG2.tutorialConfig.counts.log\n",
            "    jobid: 113\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/barcode/counts/HepG2_tutorialConfig_RNA_perBarcode.png, results/experiments/experimentMPRAworkshop/statistic/barcode/counts/HepG2_tutorialConfig_DNA_perBarcode.png; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/HepG2_2.merged.config.tutorialConfig.tsv.gz, results/experiments/experimentMPRAworkshop/counts/HepG2_1.merged.config.tutorialConfig.tsv.gz, results/experiments/experimentMPRAworkshop/counts/HepG2_3.merged.config.tutorialConfig.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, raw_or_assigned=counts, condition=HepG2, config=tutorialConfig\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/a97672b6846360f00f0e85ee53a46950_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:32:42 2024]\u001b[0m\n",
            "\u001b[32mFinished job 25.\u001b[0m\n",
            "\u001b[32m86 of 140 steps (61%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:32:42 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_correlation_bc_counts:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_1.merged.config.default.tsv.gz, results/experiments/experimentMPRAworkshop/counts/HepG2_2.merged.config.default.tsv.gz, results/experiments/experimentMPRAworkshop/counts/HepG2_3.merged.config.default.tsv.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/plot_perBCCounts_correlation.R (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/barcode/counts/HepG2_default_barcode_DNA_pairwise.png, results/experiments/experimentMPRAworkshop/statistic/barcode/counts/HepG2_default_barcode_RNA_pairwise.png, results/experiments/experimentMPRAworkshop/statistic/barcode/counts/HepG2_default_barcode_Ratio_pairwise.png, results/experiments/experimentMPRAworkshop/statistic/barcode/counts/HepG2_default_barcode_correlation.tsv\n",
            "    log: results/logs/statistic/correlation/correlate_bc_counts.experimentMPRAworkshop.HepG2.default.counts.log\n",
            "    jobid: 109\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/barcode/counts/HepG2_default_barcode_correlation.tsv; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/HepG2_1.merged.config.default.tsv.gz, results/experiments/experimentMPRAworkshop/counts/HepG2_2.merged.config.default.tsv.gz, results/experiments/experimentMPRAworkshop/counts/HepG2_3.merged.config.default.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, raw_or_assigned=counts, condition=HepG2, config=default\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/a97672b6846360f00f0e85ee53a46950_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:32:42 2024]\u001b[0m\n",
            "\u001b[32mFinished job 106.\u001b[0m\n",
            "\u001b[32m87 of 140 steps (62%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:32:42 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_correlation_bc_counts_hist:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_1.merged.config.default.tsv.gz, results/experiments/experimentMPRAworkshop/counts/HepG2_2.merged.config.default.tsv.gz, results/experiments/experimentMPRAworkshop/counts/HepG2_3.merged.config.default.tsv.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/plot_perBCCounts_stats.R (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/barcode/counts/HepG2_default_DNA_perBarcode.png, results/experiments/experimentMPRAworkshop/statistic/barcode/counts/HepG2_default_RNA_perBarcode.png\n",
            "    log: results/logs/statistic/correlation/correlate_bc_counts_hist.experimentMPRAworkshop.HepG2.default.counts.log\n",
            "    jobid: 112\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/barcode/counts/HepG2_default_DNA_perBarcode.png, results/experiments/experimentMPRAworkshop/statistic/barcode/counts/HepG2_default_RNA_perBarcode.png; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/HepG2_1.merged.config.default.tsv.gz, results/experiments/experimentMPRAworkshop/counts/HepG2_2.merged.config.default.tsv.gz, results/experiments/experimentMPRAworkshop/counts/HepG2_3.merged.config.default.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, raw_or_assigned=counts, condition=HepG2, config=default\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/a97672b6846360f00f0e85ee53a46950_\u001b[0m\n",
            "\n",
            "Attaching package: ‘dplyr’\n",
            "\n",
            "The following objects are masked from ‘package:stats’:\n",
            "\n",
            "    filter, lag\n",
            "\n",
            "The following objects are masked from ‘package:base’:\n",
            "\n",
            "    intersect, setdiff, setequal, union\n",
            "\n",
            "\u001b[1mRows: \u001b[22m\u001b[34m6\u001b[39m \u001b[1mColumns: \u001b[22m\u001b[34m8\u001b[39m\n",
            "\u001b[36m──\u001b[39m \u001b[1mColumn specification\u001b[22m \u001b[36m────────────────────────────────────────────────────────\u001b[39m\n",
            "\u001b[1mDelimiter:\u001b[22m \"\\t\"\n",
            "\u001b[31mchr\u001b[39m (2): X1, X3\n",
            "\u001b[32mdbl\u001b[39m (6): X2, X4, X5, X6, X7, X8\n",
            "\n",
            "\u001b[36mℹ\u001b[39m Use `spec()` to retrieve the full column specification for this data.\n",
            "\u001b[36mℹ\u001b[39m Specify the column types or set `show_col_types = FALSE` to quiet this message.\n",
            "\u001b[1mRows: \u001b[22m\u001b[34m3\u001b[39m \u001b[1mColumns: \u001b[22m\u001b[34m3\u001b[39m\n",
            "\u001b[36m──\u001b[39m \u001b[1mColumn specification\u001b[22m \u001b[36m────────────────────────────────────────────────────────\u001b[39m\n",
            "\u001b[1mDelimiter:\u001b[22m \"\\t\"\n",
            "\u001b[31mchr\u001b[39m (1): X1\n",
            "\u001b[32mdbl\u001b[39m (2): X2, X3\n",
            "\n",
            "\u001b[36mℹ\u001b[39m Use `spec()` to retrieve the full column specification for this data.\n",
            "\u001b[36mℹ\u001b[39m Specify the column types or set `show_col_types = FALSE` to quiet this message.\n",
            "\u001b[1m\u001b[22mJoining with `by = join_by(Condition, Replicate)`\n",
            "\u001b[32m[Wed Sep 18 14:32:46 2024]\u001b[0m\n",
            "\u001b[32mFinished job 90.\u001b[0m\n",
            "\u001b[32m88 of 140 steps (63%) done\u001b[0m\n",
            "\u001b[33mRemoving temporary output results/experiments/experimentMPRAworkshop/statistic/counts/count_filtered.tsv.\u001b[0m\n",
            "\u001b[33mRemoving temporary output results/experiments/experimentMPRAworkshop/statistic/counts/BC_in_RNA_DNA_filtered.tsv.\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:32:46 2024]\u001b[0m\n",
            "\u001b[32mlocalrule assigned_counts_dna_rna_merge:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_3.merged.config.default.tsv.gz, results/experiments/experimentMPRAworkshop/assignment/MPRAworkshop.tsv.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/merge_label.py (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_3_merged_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_3_barcode_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_3_merged_assigned_counts.statistic.tsv.gz\n",
            "    log: results/logs/assigned_counts/MPRAworkshop/dna_rna_merge.experimentMPRAworkshop.HepG2.3.default.log\n",
            "    jobid: 24\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_3_merged_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_3_merged_assigned_counts.statistic.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_3_barcode_assigned_counts.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/HepG2_3.merged.config.default.tsv.gz, results/experiments/experimentMPRAworkshop/assignment/MPRAworkshop.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, assignment=MPRAworkshop, config=default, condition=HepG2, replicate=3\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/6b581fe0673ef9f4220b75b42bfbd73d_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:32:48 2024]\u001b[0m\n",
            "\u001b[32mFinished job 116.\u001b[0m\n",
            "\u001b[32m89 of 140 steps (64%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:32:48 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_bc_overlap_combine_counts:\n",
            "    input: results/experiments/experimentMPRAworkshop/statistic/bc_overlap/counts/overlapBCandCounts.HepG2_DNA.default.tsv, results/experiments/experimentMPRAworkshop/statistic/bc_overlap/counts/overlapBCandCounts.HepG2_RNA.default.tsv\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/bc_overlap.counts.default.tsv\n",
            "    log: results/logs/statistic/bc_overlap/combine_counts.experimentMPRAworkshop.default.log\n",
            "    jobid: 114\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/bc_overlap.counts.default.tsv; Input files updated by another job: results/experiments/experimentMPRAworkshop/statistic/bc_overlap/counts/overlapBCandCounts.HepG2_DNA.default.tsv, results/experiments/experimentMPRAworkshop/statistic/bc_overlap/counts/overlapBCandCounts.HepG2_RNA.default.tsv\n",
            "    wildcards: project=experimentMPRAworkshop, config=default\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:32:48 2024]\u001b[0m\n",
            "\u001b[32mFinished job 119.\u001b[0m\n",
            "\u001b[32m90 of 140 steps (64%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:32:48 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_bc_overlap_combine_counts:\n",
            "    input: results/experiments/experimentMPRAworkshop/statistic/bc_overlap/counts/overlapBCandCounts.HepG2_DNA.tutorialConfig.tsv, results/experiments/experimentMPRAworkshop/statistic/bc_overlap/counts/overlapBCandCounts.HepG2_RNA.tutorialConfig.tsv\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/bc_overlap.counts.tutorialConfig.tsv\n",
            "    log: results/logs/statistic/bc_overlap/combine_counts.experimentMPRAworkshop.tutorialConfig.log\n",
            "    jobid: 117\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/bc_overlap.counts.tutorialConfig.tsv; Input files updated by another job: results/experiments/experimentMPRAworkshop/statistic/bc_overlap/counts/overlapBCandCounts.HepG2_DNA.tutorialConfig.tsv, results/experiments/experimentMPRAworkshop/statistic/bc_overlap/counts/overlapBCandCounts.HepG2_RNA.tutorialConfig.tsv\n",
            "    wildcards: project=experimentMPRAworkshop, config=tutorialConfig\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:32:49 2024]\u001b[0m\n",
            "\u001b[32mFinished job 114.\u001b[0m\n",
            "\u001b[32m91 of 140 steps (65%) done\u001b[0m\n",
            "\u001b[33mRemoving temporary output results/experiments/experimentMPRAworkshop/statistic/bc_overlap/counts/overlapBCandCounts.HepG2_DNA.default.tsv.\u001b[0m\n",
            "\u001b[33mRemoving temporary output results/experiments/experimentMPRAworkshop/statistic/bc_overlap/counts/overlapBCandCounts.HepG2_RNA.default.tsv.\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:32:49 2024]\u001b[0m\n",
            "\u001b[32mlocalrule assigned_counts_dna_rna_merge:\n",
            "    input: results/experiments/experimentMPRAworkshop/counts/HepG2_3.merged.config.tutorialConfig.tsv.gz, results/experiments/experimentMPRAworkshop/assignment/MPRAworkshop.tsv.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/merge_label.py (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_3_merged_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_3_barcode_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_3_merged_assigned_counts.statistic.tsv.gz\n",
            "    log: results/logs/assigned_counts/MPRAworkshop/dna_rna_merge.experimentMPRAworkshop.HepG2.3.tutorialConfig.log\n",
            "    jobid: 55\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_3_merged_assigned_counts.statistic.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_3_merged_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_3_barcode_assigned_counts.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/counts/HepG2_3.merged.config.tutorialConfig.tsv.gz, results/experiments/experimentMPRAworkshop/assignment/MPRAworkshop.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, assignment=MPRAworkshop, config=tutorialConfig, condition=HepG2, replicate=3\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/6b581fe0673ef9f4220b75b42bfbd73d_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:32:49 2024]\u001b[0m\n",
            "\u001b[32mFinished job 117.\u001b[0m\n",
            "\u001b[32m92 of 140 steps (66%) done\u001b[0m\n",
            "\u001b[33mRemoving temporary output results/experiments/experimentMPRAworkshop/statistic/bc_overlap/counts/overlapBCandCounts.HepG2_DNA.tutorialConfig.tsv.\u001b[0m\n",
            "\u001b[33mRemoving temporary output results/experiments/experimentMPRAworkshop/statistic/bc_overlap/counts/overlapBCandCounts.HepG2_RNA.tutorialConfig.tsv.\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:32:53 2024]\u001b[0m\n",
            "\u001b[32mFinished job 24.\u001b[0m\n",
            "\u001b[32m93 of 140 steps (66%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 2 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:32:53 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_assigned_counts_combine_stats_dna_rna_merge:\n",
            "    input: results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_1_merged_assigned_counts.statistic.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_2_merged_assigned_counts.statistic.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_3_merged_assigned_counts.statistic.tsv.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/merge_statistic_tables.py (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/combined/HepG2_merged_assigned_counts.statistic.tsv.gz\n",
            "    log: results/logs/statistic/assigned_counts/combine_stats_dna_rna_merge.experimentMPRAworkshop.HepG2.default.MPRAworkshop.log\n",
            "    jobid: 35\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/combined/HepG2_merged_assigned_counts.statistic.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_3_merged_assigned_counts.statistic.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_1_merged_assigned_counts.statistic.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_2_merged_assigned_counts.statistic.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, assignment=MPRAworkshop, config=default, condition=HepG2\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/6b581fe0673ef9f4220b75b42bfbd73d_\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:32:53 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_correlation_calculate:\n",
            "    input: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_1_merged_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_2_merged_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_3_merged_assigned_counts.tsv.gz, example_data/design/workshop_labels.tsv, /data/MPRAsnakeflow/workflow/rules/../scripts/count/plot_perInsertCounts_correlation.R (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_DNA_pairwise.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_RNA_pairwise.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_Ratio_pairwise.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_DNA_pairwise_minThreshold.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_RNA_pairwise_minThreshold.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_Ratio_pairwise_minThreshold.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_correlation.tsv, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_correlation_minThreshold.tsv\n",
            "    log: results/logs/statistic/correlation/calculate.experimentMPRAworkshop.HepG2.default.MPRAworkshop.log\n",
            "    jobid: 2\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_RNA_pairwise.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_DNA_pairwise.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_Ratio_pairwise.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_correlation.tsv, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_DNA_pairwise_minThreshold.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_correlation_minThreshold.tsv, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_RNA_pairwise_minThreshold.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_Ratio_pairwise_minThreshold.png; Input files updated by another job: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_2_merged_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_3_merged_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_1_merged_assigned_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, assignment=MPRAworkshop, config=default\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/a97672b6846360f00f0e85ee53a46950_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:32:54 2024]\u001b[0m\n",
            "\u001b[32mFinished job 112.\u001b[0m\n",
            "\u001b[32m94 of 140 steps (67%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:32:54 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_correlation_hist_box_plots:\n",
            "    input: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_1_merged_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_2_merged_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_3_merged_assigned_counts.tsv.gz, example_data/design/workshop_labels.tsv, /data/MPRAsnakeflow/workflow/rules/../scripts/count/plot_perInsertCounts_stats.R (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_group_barcodesPerInsert_box.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_group_barcodesPerInsert_box_minThreshold.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_dna_vs_rna.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_dna_vs_rna_minThreshold.png\n",
            "    log: results/logs/statistic/correlation/hist_box_plots.experimentMPRAworkshop.HepG2.default.MPRAworkshop.log\n",
            "    jobid: 48\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_group_barcodesPerInsert_box.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_dna_vs_rna_minThreshold.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_group_barcodesPerInsert_box_minThreshold.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_dna_vs_rna.png; Input files updated by another job: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_2_merged_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_3_merged_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_1_merged_assigned_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, assignment=MPRAworkshop, config=default, condition=HepG2\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/a97672b6846360f00f0e85ee53a46950_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:32:54 2024]\u001b[0m\n",
            "\u001b[32mFinished job 113.\u001b[0m\n",
            "\u001b[32m95 of 140 steps (68%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:32:54 2024]\u001b[0m\n",
            "\u001b[32mlocalrule assigned_counts_combine_replicates_barcode_output:\n",
            "    input: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_1_barcode_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_2_barcode_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_3_barcode_assigned_counts.tsv.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/merge_replicates_barcode_counts.py (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_allreps_merged_barcode_assigned_counts.tsv.gz\n",
            "    log: results/logs/assigned_counts/combine_replicates_barcode_output.experimentMPRAworkshop.HepG2.default.MPRAworkshop.log\n",
            "    jobid: 136\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_allreps_merged_barcode_assigned_counts.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_2_barcode_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_3_barcode_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_1_barcode_assigned_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, assignment=MPRAworkshop, config=default, condition=HepG2\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/6b581fe0673ef9f4220b75b42bfbd73d_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:32:55 2024]\u001b[0m\n",
            "\u001b[32mFinished job 35.\u001b[0m\n",
            "\u001b[32m96 of 140 steps (69%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:32:55 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_assigned_counts_combine_stats_dna_rna_merge_all:\n",
            "    input: results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/combined/HepG2_merged_assigned_counts.statistic.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/statistic_assigned_counts_merged_MPRAworkshop_default.tsv\n",
            "    log: results/logs/statistic/assigned_counts/combine_stats_dna_rna_merge_all.experimentMPRAworkshop.default.MPRAworkshop.log\n",
            "    jobid: 34\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/statistic_assigned_counts_merged_MPRAworkshop_default.tsv; Input files updated by another job: results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/combined/HepG2_merged_assigned_counts.statistic.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, assignment=MPRAworkshop, config=default\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:32:56 2024]\u001b[0m\n",
            "\u001b[32mFinished job 34.\u001b[0m\n",
            "\u001b[32m97 of 140 steps (69%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:32:56 2024]\u001b[0m\n",
            "\u001b[32mlocalrule assigned_counts_make_master_tables:\n",
            "    input: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_1_merged_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_2_merged_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_3_merged_assigned_counts.tsv.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/make_master_tables.R (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_average_allreps_merged.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_allreps_merged.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_allreps_minThreshold_merged.tsv.gz\n",
            "    log: results/logs/assigned_counts/make_master_tables.experimentMPRAworkshop.HepG2.default.MPRAworkshop.log\n",
            "    jobid: 130\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_allreps_minThreshold_merged.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_allreps_merged.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_2_merged_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_3_merged_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_1_merged_assigned_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, assignment=MPRAworkshop, config=default, condition=HepG2\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/a97672b6846360f00f0e85ee53a46950_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:32:56 2024]\u001b[0m\n",
            "\u001b[32mFinished job 55.\u001b[0m\n",
            "\u001b[32m98 of 140 steps (70%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:32:56 2024]\u001b[0m\n",
            "\u001b[32mlocalrule assigned_counts_make_master_tables:\n",
            "    input: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_1_merged_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_2_merged_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_3_merged_assigned_counts.tsv.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/make_master_tables.R (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_average_allreps_merged.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_allreps_merged.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_allreps_minThreshold_merged.tsv.gz\n",
            "    log: results/logs/assigned_counts/make_master_tables.experimentMPRAworkshop.HepG2.tutorialConfig.MPRAworkshop.log\n",
            "    jobid: 131\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_allreps_minThreshold_merged.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_allreps_merged.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_1_merged_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_3_merged_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_2_merged_assigned_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, assignment=MPRAworkshop, config=tutorialConfig, condition=HepG2\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/a97672b6846360f00f0e85ee53a46950_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:32:59 2024]\u001b[0m\n",
            "\u001b[32mFinished job 130.\u001b[0m\n",
            "\u001b[32m99 of 140 steps (71%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:32:59 2024]\u001b[0m\n",
            "\u001b[32mlocalrule assigned_counts_combine_replicates:\n",
            "    input: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_allreps_merged.tsv.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/combine_replicates.py (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_allreps_merged.combined.tsv.gz\n",
            "    log: results/logs/assigned_counts/combine_replicates.experimentMPRAworkshop.HepG2.default.MPRAworkshop.allreps.log\n",
            "    jobid: 132\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_allreps_merged.combined.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_allreps_merged.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, assignment=MPRAworkshop, config=default, condition=HepG2, allreps_or_threshold=allreps\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/6b581fe0673ef9f4220b75b42bfbd73d_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:33:00 2024]\u001b[0m\n",
            "\u001b[32mFinished job 131.\u001b[0m\n",
            "\u001b[32m100 of 140 steps (71%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:33:00 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_assigned_counts_combine_stats_dna_rna_merge:\n",
            "    input: results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_1_merged_assigned_counts.statistic.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_2_merged_assigned_counts.statistic.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_3_merged_assigned_counts.statistic.tsv.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/merge_statistic_tables.py (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/combined/HepG2_merged_assigned_counts.statistic.tsv.gz\n",
            "    log: results/logs/statistic/assigned_counts/combine_stats_dna_rna_merge.experimentMPRAworkshop.HepG2.tutorialConfig.MPRAworkshop.log\n",
            "    jobid: 58\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/combined/HepG2_merged_assigned_counts.statistic.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_3_merged_assigned_counts.statistic.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_1_merged_assigned_counts.statistic.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_2_merged_assigned_counts.statistic.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, assignment=MPRAworkshop, config=tutorialConfig, condition=HepG2\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/6b581fe0673ef9f4220b75b42bfbd73d_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:33:00 2024]\u001b[0m\n",
            "\u001b[32mFinished job 136.\u001b[0m\n",
            "\u001b[32m101 of 140 steps (72%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:33:00 2024]\u001b[0m\n",
            "\u001b[32mlocalrule assigned_counts_combine_replicates_barcode_output:\n",
            "    input: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_1_barcode_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_2_barcode_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_3_barcode_assigned_counts.tsv.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/merge_replicates_barcode_counts.py (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_allreps_merged_barcode_assigned_counts.tsv.gz\n",
            "    log: results/logs/assigned_counts/combine_replicates_barcode_output.experimentMPRAworkshop.HepG2.tutorialConfig.MPRAworkshop.log\n",
            "    jobid: 137\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_allreps_merged_barcode_assigned_counts.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_3_barcode_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_1_barcode_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_2_barcode_assigned_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, assignment=MPRAworkshop, config=tutorialConfig, condition=HepG2\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/6b581fe0673ef9f4220b75b42bfbd73d_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:33:02 2024]\u001b[0m\n",
            "\u001b[32mFinished job 132.\u001b[0m\n",
            "\u001b[32m102 of 140 steps (73%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:33:02 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_correlation_hist_box_plots:\n",
            "    input: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_1_merged_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_2_merged_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_3_merged_assigned_counts.tsv.gz, example_data/design/workshop_labels.tsv, /data/MPRAsnakeflow/workflow/rules/../scripts/count/plot_perInsertCounts_stats.R (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_group_barcodesPerInsert_box.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_group_barcodesPerInsert_box_minThreshold.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_dna_vs_rna.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_dna_vs_rna_minThreshold.png\n",
            "    log: results/logs/statistic/correlation/hist_box_plots.experimentMPRAworkshop.HepG2.tutorialConfig.MPRAworkshop.log\n",
            "    jobid: 71\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_group_barcodesPerInsert_box_minThreshold.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_dna_vs_rna.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_group_barcodesPerInsert_box.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_dna_vs_rna_minThreshold.png; Input files updated by another job: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_1_merged_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_3_merged_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_2_merged_assigned_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, assignment=MPRAworkshop, config=tutorialConfig, condition=HepG2\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/a97672b6846360f00f0e85ee53a46950_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:33:02 2024]\u001b[0m\n",
            "\u001b[32mFinished job 58.\u001b[0m\n",
            "\u001b[32m103 of 140 steps (74%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:33:02 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_assigned_counts_combine_stats_dna_rna_merge_all:\n",
            "    input: results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/combined/HepG2_merged_assigned_counts.statistic.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/statistic_assigned_counts_merged_MPRAworkshop_tutorialConfig.tsv\n",
            "    log: results/logs/statistic/assigned_counts/combine_stats_dna_rna_merge_all.experimentMPRAworkshop.tutorialConfig.MPRAworkshop.log\n",
            "    jobid: 57\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/statistic_assigned_counts_merged_MPRAworkshop_tutorialConfig.tsv; Input files updated by another job: results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/combined/HepG2_merged_assigned_counts.statistic.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, assignment=MPRAworkshop, config=tutorialConfig\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:33:03 2024]\u001b[0m\n",
            "\u001b[32mFinished job 57.\u001b[0m\n",
            "\u001b[32m104 of 140 steps (74%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:33:03 2024]\u001b[0m\n",
            "\u001b[32mlocalrule assigned_counts_combine_replicates:\n",
            "    input: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_allreps_minThreshold_merged.tsv.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/combine_replicates.py (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_allreps_minThreshold_merged.combined.tsv.gz\n",
            "    log: results/logs/assigned_counts/combine_replicates.experimentMPRAworkshop.HepG2.tutorialConfig.MPRAworkshop.allreps_minThreshold.log\n",
            "    jobid: 135\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_allreps_minThreshold_merged.combined.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_allreps_minThreshold_merged.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, assignment=MPRAworkshop, config=tutorialConfig, condition=HepG2, allreps_or_threshold=allreps_minThreshold\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/6b581fe0673ef9f4220b75b42bfbd73d_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:33:06 2024]\u001b[0m\n",
            "\u001b[32mFinished job 135.\u001b[0m\n",
            "\u001b[32m105 of 140 steps (75%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:33:06 2024]\u001b[0m\n",
            "\u001b[32mlocalrule assigned_counts_combine_replicates:\n",
            "    input: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_allreps_merged.tsv.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/combine_replicates.py (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_allreps_merged.combined.tsv.gz\n",
            "    log: results/logs/assigned_counts/combine_replicates.experimentMPRAworkshop.HepG2.tutorialConfig.MPRAworkshop.allreps.log\n",
            "    jobid: 133\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_allreps_merged.combined.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_allreps_merged.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, assignment=MPRAworkshop, config=tutorialConfig, condition=HepG2, allreps_or_threshold=allreps\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/6b581fe0673ef9f4220b75b42bfbd73d_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:33:07 2024]\u001b[0m\n",
            "\u001b[32mFinished job 137.\u001b[0m\n",
            "\u001b[32m106 of 140 steps (76%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:33:07 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_correlation_calculate:\n",
            "    input: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_1_merged_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_2_merged_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_3_merged_assigned_counts.tsv.gz, example_data/design/workshop_labels.tsv, /data/MPRAsnakeflow/workflow/rules/../scripts/count/plot_perInsertCounts_correlation.R (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_DNA_pairwise.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_RNA_pairwise.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_Ratio_pairwise.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_DNA_pairwise_minThreshold.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_RNA_pairwise_minThreshold.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_Ratio_pairwise_minThreshold.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_correlation.tsv, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_correlation_minThreshold.tsv\n",
            "    log: results/logs/statistic/correlation/calculate.experimentMPRAworkshop.HepG2.tutorialConfig.MPRAworkshop.log\n",
            "    jobid: 50\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_RNA_pairwise.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_DNA_pairwise_minThreshold.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_Ratio_pairwise.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_Ratio_pairwise_minThreshold.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_RNA_pairwise_minThreshold.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_correlation_minThreshold.tsv, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_correlation.tsv, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_DNA_pairwise.png; Input files updated by another job: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_1_merged_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_3_merged_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_2_merged_assigned_counts.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, assignment=MPRAworkshop, config=tutorialConfig\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/a97672b6846360f00f0e85ee53a46950_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:33:09 2024]\u001b[0m\n",
            "\u001b[32mFinished job 133.\u001b[0m\n",
            "\u001b[32m107 of 140 steps (76%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:33:09 2024]\u001b[0m\n",
            "\u001b[32mlocalrule assigned_counts_combine_replicates:\n",
            "    input: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_allreps_minThreshold_merged.tsv.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/combine_replicates.py (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_allreps_minThreshold_merged.combined.tsv.gz\n",
            "    log: results/logs/assigned_counts/combine_replicates.experimentMPRAworkshop.HepG2.default.MPRAworkshop.allreps_minThreshold.log\n",
            "    jobid: 134\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_allreps_minThreshold_merged.combined.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_allreps_minThreshold_merged.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, assignment=MPRAworkshop, config=default, condition=HepG2, allreps_or_threshold=allreps_minThreshold\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/6b581fe0673ef9f4220b75b42bfbd73d_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:33:09 2024]\u001b[0m\n",
            "\u001b[32mFinished job 66.\u001b[0m\n",
            "\u001b[32m108 of 140 steps (77%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:33:09 2024]\u001b[0m\n",
            "\u001b[32mlocalrule counts_dna_rna_merge_counts:\n",
            "    input: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_3_DNA_final_counts.config.tutorialConfig.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_3_RNA_final_counts.config.tutorialConfig.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_3.merged.config.tutorialConfig.tsv.gz\n",
            "    log: results/logs/assigned_counts/MPRAworkshop/dna_rna_merge_counts.experimentMPRAworkshop.HepG2.3.tutorialConfig.log\n",
            "    jobid: 70\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_3.merged.config.tutorialConfig.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_3_DNA_final_counts.config.tutorialConfig.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_3_RNA_final_counts.config.tutorialConfig.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, raw_or_assigned=assigned_counts/MPRAworkshop, condition=HepG2, replicate=3, config=tutorialConfig\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:33:10 2024]\u001b[0m\n",
            "\u001b[32mFinished job 43.\u001b[0m\n",
            "\u001b[32m109 of 140 steps (78%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:33:10 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_bc_overlap_run:\n",
            "    input: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_1_RNA_final_counts.config.default.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_2_RNA_final_counts.config.default.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_3_RNA_final_counts.config.default.tsv.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/BCCounts_betweenReplicates.R (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/bc_overlap/assigned_counts/MPRAworkshop/overlapBCandCounts.HepG2_RNA.default.tsv\n",
            "    log: results/logs/statistic/bc_overlap/run.experimentMPRAworkshop.HepG2.RNA.default.assigned_counts/MPRAworkshop.log\n",
            "    jobid: 126\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/bc_overlap/assigned_counts/MPRAworkshop/overlapBCandCounts.HepG2_RNA.default.tsv; Input files updated by another job: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_2_RNA_final_counts.config.default.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_1_RNA_final_counts.config.default.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_3_RNA_final_counts.config.default.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, raw_or_assigned=assigned_counts/MPRAworkshop, condition=HepG2, type=RNA, config=default\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/a97672b6846360f00f0e85ee53a46950_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:33:10 2024]\u001b[0m\n",
            "\u001b[32mFinished job 70.\u001b[0m\n",
            "\u001b[32m110 of 140 steps (79%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:33:10 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_bc_overlap_run:\n",
            "    input: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_1_RNA_final_counts.config.tutorialConfig.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_2_RNA_final_counts.config.tutorialConfig.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_3_RNA_final_counts.config.tutorialConfig.tsv.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/BCCounts_betweenReplicates.R (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/bc_overlap/assigned_counts/MPRAworkshop/overlapBCandCounts.HepG2_RNA.tutorialConfig.tsv\n",
            "    log: results/logs/statistic/bc_overlap/run.experimentMPRAworkshop.HepG2.RNA.tutorialConfig.assigned_counts/MPRAworkshop.log\n",
            "    jobid: 129\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/bc_overlap/assigned_counts/MPRAworkshop/overlapBCandCounts.HepG2_RNA.tutorialConfig.tsv; Input files updated by another job: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_2_RNA_final_counts.config.tutorialConfig.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_1_RNA_final_counts.config.tutorialConfig.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_3_RNA_final_counts.config.tutorialConfig.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, raw_or_assigned=assigned_counts/MPRAworkshop, condition=HepG2, type=RNA, config=tutorialConfig\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/a97672b6846360f00f0e85ee53a46950_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:33:11 2024]\u001b[0m\n",
            "\u001b[32mFinished job 134.\u001b[0m\n",
            "\u001b[32m111 of 140 steps (79%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:33:11 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_correlation_bc_counts_hist:\n",
            "    input: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_1.merged.config.tutorialConfig.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_2.merged.config.tutorialConfig.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_3.merged.config.tutorialConfig.tsv.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/plot_perBCCounts_stats.R (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/barcode/assigned_counts/MPRAworkshop/HepG2_tutorialConfig_DNA_perBarcode.png, results/experiments/experimentMPRAworkshop/statistic/barcode/assigned_counts/MPRAworkshop/HepG2_tutorialConfig_RNA_perBarcode.png\n",
            "    log: results/logs/statistic/correlation/correlate_bc_counts_hist.experimentMPRAworkshop.HepG2.tutorialConfig.assigned_counts/MPRAworkshop.log\n",
            "    jobid: 67\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/barcode/assigned_counts/MPRAworkshop/HepG2_tutorialConfig_DNA_perBarcode.png, results/experiments/experimentMPRAworkshop/statistic/barcode/assigned_counts/MPRAworkshop/HepG2_tutorialConfig_RNA_perBarcode.png; Input files updated by another job: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_3.merged.config.tutorialConfig.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_1.merged.config.tutorialConfig.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_2.merged.config.tutorialConfig.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, raw_or_assigned=assigned_counts/MPRAworkshop, condition=HepG2, config=tutorialConfig\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/a97672b6846360f00f0e85ee53a46950_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:33:15 2024]\u001b[0m\n",
            "\u001b[32mFinished job 126.\u001b[0m\n",
            "\u001b[32m112 of 140 steps (80%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:33:15 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_bc_overlap_combine_assigned_counts:\n",
            "    input: results/experiments/experimentMPRAworkshop/statistic/bc_overlap/assigned_counts/MPRAworkshop/overlapBCandCounts.HepG2_DNA.default.tsv, results/experiments/experimentMPRAworkshop/statistic/bc_overlap/assigned_counts/MPRAworkshop/overlapBCandCounts.HepG2_RNA.default.tsv\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/bc_overlap.assigned_counts.default.MPRAworkshop.tsv\n",
            "    log: results/logs/statistic/bc_overlap/combine_assigned_counts.experimentMPRAworkshop.default.MPRAworkshop.log\n",
            "    jobid: 124\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/bc_overlap.assigned_counts.default.MPRAworkshop.tsv; Input files updated by another job: results/experiments/experimentMPRAworkshop/statistic/bc_overlap/assigned_counts/MPRAworkshop/overlapBCandCounts.HepG2_DNA.default.tsv, results/experiments/experimentMPRAworkshop/statistic/bc_overlap/assigned_counts/MPRAworkshop/overlapBCandCounts.HepG2_RNA.default.tsv\n",
            "    wildcards: project=experimentMPRAworkshop, config=default, assignment=MPRAworkshop\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:33:16 2024]\u001b[0m\n",
            "\u001b[32mFinished job 129.\u001b[0m\n",
            "\u001b[32m113 of 140 steps (81%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:33:16 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_bc_overlap_combine_assigned_counts:\n",
            "    input: results/experiments/experimentMPRAworkshop/statistic/bc_overlap/assigned_counts/MPRAworkshop/overlapBCandCounts.HepG2_DNA.tutorialConfig.tsv, results/experiments/experimentMPRAworkshop/statistic/bc_overlap/assigned_counts/MPRAworkshop/overlapBCandCounts.HepG2_RNA.tutorialConfig.tsv\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/bc_overlap.assigned_counts.tutorialConfig.MPRAworkshop.tsv\n",
            "    log: results/logs/statistic/bc_overlap/combine_assigned_counts.experimentMPRAworkshop.tutorialConfig.MPRAworkshop.log\n",
            "    jobid: 127\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/bc_overlap.assigned_counts.tutorialConfig.MPRAworkshop.tsv; Input files updated by another job: results/experiments/experimentMPRAworkshop/statistic/bc_overlap/assigned_counts/MPRAworkshop/overlapBCandCounts.HepG2_DNA.tutorialConfig.tsv, results/experiments/experimentMPRAworkshop/statistic/bc_overlap/assigned_counts/MPRAworkshop/overlapBCandCounts.HepG2_RNA.tutorialConfig.tsv\n",
            "    wildcards: project=experimentMPRAworkshop, config=tutorialConfig, assignment=MPRAworkshop\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:33:16 2024]\u001b[0m\n",
            "\u001b[32mFinished job 124.\u001b[0m\n",
            "\u001b[32m114 of 140 steps (81%) done\u001b[0m\n",
            "\u001b[33mRemoving temporary output results/experiments/experimentMPRAworkshop/statistic/bc_overlap/assigned_counts/MPRAworkshop/overlapBCandCounts.HepG2_DNA.default.tsv.\u001b[0m\n",
            "\u001b[33mRemoving temporary output results/experiments/experimentMPRAworkshop/statistic/bc_overlap/assigned_counts/MPRAworkshop/overlapBCandCounts.HepG2_RNA.default.tsv.\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:33:16 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_correlation_bc_counts:\n",
            "    input: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_1.merged.config.tutorialConfig.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_2.merged.config.tutorialConfig.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_3.merged.config.tutorialConfig.tsv.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/plot_perBCCounts_correlation.R (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/barcode/assigned_counts/MPRAworkshop/HepG2_tutorialConfig_barcode_DNA_pairwise.png, results/experiments/experimentMPRAworkshop/statistic/barcode/assigned_counts/MPRAworkshop/HepG2_tutorialConfig_barcode_RNA_pairwise.png, results/experiments/experimentMPRAworkshop/statistic/barcode/assigned_counts/MPRAworkshop/HepG2_tutorialConfig_barcode_Ratio_pairwise.png, results/experiments/experimentMPRAworkshop/statistic/barcode/assigned_counts/MPRAworkshop/HepG2_tutorialConfig_barcode_correlation.tsv\n",
            "    log: results/logs/statistic/correlation/correlate_bc_counts.experimentMPRAworkshop.HepG2.tutorialConfig.assigned_counts/MPRAworkshop.log\n",
            "    jobid: 123\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/barcode/assigned_counts/MPRAworkshop/HepG2_tutorialConfig_barcode_correlation.tsv; Input files updated by another job: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_3.merged.config.tutorialConfig.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_1.merged.config.tutorialConfig.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_2.merged.config.tutorialConfig.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, raw_or_assigned=assigned_counts/MPRAworkshop, condition=HepG2, config=tutorialConfig\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/a97672b6846360f00f0e85ee53a46950_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:33:16 2024]\u001b[0m\n",
            "\u001b[32mFinished job 127.\u001b[0m\n",
            "\u001b[32m115 of 140 steps (82%) done\u001b[0m\n",
            "\u001b[33mRemoving temporary output results/experiments/experimentMPRAworkshop/statistic/bc_overlap/assigned_counts/MPRAworkshop/overlapBCandCounts.HepG2_DNA.tutorialConfig.tsv.\u001b[0m\n",
            "\u001b[33mRemoving temporary output results/experiments/experimentMPRAworkshop/statistic/bc_overlap/assigned_counts/MPRAworkshop/overlapBCandCounts.HepG2_RNA.tutorialConfig.tsv.\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:33:16 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_assigned_counts_combine_BC_assignment_stats_helper:\n",
            "    input: results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/HepG2_1_DNA_tutorialConfig.statistic.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/HepG2_2_DNA_tutorialConfig.statistic.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/HepG2_3_DNA_tutorialConfig.statistic.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/HepG2_1_RNA_tutorialConfig.statistic.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/HepG2_2_RNA_tutorialConfig.statistic.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/HepG2_3_RNA_tutorialConfig.statistic.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/helper.HepG2.tutorialConfig.statistic.tsv.gz\n",
            "    log: results/logs/statistic/assigned_counts/combine_BC_assignment_stats_helper.experimentMPRAworkshop.HepG2.tutorialConfig.MPRAworkshop.log\n",
            "    jobid: 60\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/helper.HepG2.tutorialConfig.statistic.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/HepG2_3_DNA_tutorialConfig.statistic.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/HepG2_1_RNA_tutorialConfig.statistic.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/HepG2_2_DNA_tutorialConfig.statistic.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/HepG2_1_DNA_tutorialConfig.statistic.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/HepG2_2_RNA_tutorialConfig.statistic.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/HepG2_3_RNA_tutorialConfig.statistic.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, assignment=MPRAworkshop, condition=HepG2, config=tutorialConfig\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:33:17 2024]\u001b[0m\n",
            "\u001b[32mFinished job 60.\u001b[0m\n",
            "\u001b[32m116 of 140 steps (83%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:33:17 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_assigned_counts_combine_BC_assignment_stats:\n",
            "    input: results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/helper.HepG2.tutorialConfig.statistic.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/statistic_assigned_counts_single_MPRAworkshop_tutorialConfig.tsv\n",
            "    log: results/logs/statistic/assigned_counts/combine_BC_assignment_stats.experimentMPRAworkshop.MPRAworkshop_tutorialConfig.log\n",
            "    jobid: 59\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/statistic_assigned_counts_single_MPRAworkshop_tutorialConfig.tsv; Input files updated by another job: results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/helper.HepG2.tutorialConfig.statistic.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, assignment=MPRAworkshop, config=tutorialConfig\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:33:18 2024]\u001b[0m\n",
            "\u001b[32mFinished job 59.\u001b[0m\n",
            "\u001b[32m117 of 140 steps (84%) done\u001b[0m\n",
            "\u001b[33mRemoving temporary output results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/helper.HepG2.tutorialConfig.statistic.tsv.gz.\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:33:18 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_assigned_counts_combine_BC_assignment_stats_helper:\n",
            "    input: results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/HepG2_1_DNA_default.statistic.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/HepG2_2_DNA_default.statistic.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/HepG2_3_DNA_default.statistic.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/HepG2_1_RNA_default.statistic.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/HepG2_2_RNA_default.statistic.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/HepG2_3_RNA_default.statistic.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/helper.HepG2.default.statistic.tsv.gz\n",
            "    log: results/logs/statistic/assigned_counts/combine_BC_assignment_stats_helper.experimentMPRAworkshop.HepG2.default.MPRAworkshop.log\n",
            "    jobid: 37\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/helper.HepG2.default.statistic.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/HepG2_3_RNA_default.statistic.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/HepG2_2_DNA_default.statistic.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/HepG2_2_RNA_default.statistic.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/HepG2_1_RNA_default.statistic.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/HepG2_1_DNA_default.statistic.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/HepG2_3_DNA_default.statistic.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, assignment=MPRAworkshop, condition=HepG2, config=default\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:33:18 2024]\u001b[0m\n",
            "\u001b[32mFinished job 37.\u001b[0m\n",
            "\u001b[32m118 of 140 steps (84%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:33:18 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_assigned_counts_combine_BC_assignment_stats:\n",
            "    input: results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/helper.HepG2.default.statistic.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/statistic_assigned_counts_single_MPRAworkshop_default.tsv\n",
            "    log: results/logs/statistic/assigned_counts/combine_BC_assignment_stats.experimentMPRAworkshop.MPRAworkshop_default.log\n",
            "    jobid: 36\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/statistic_assigned_counts_single_MPRAworkshop_default.tsv; Input files updated by another job: results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/helper.HepG2.default.statistic.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, assignment=MPRAworkshop, config=default\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:33:19 2024]\u001b[0m\n",
            "\u001b[32mFinished job 36.\u001b[0m\n",
            "\u001b[32m119 of 140 steps (85%) done\u001b[0m\n",
            "\u001b[33mRemoving temporary output results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/helper.HepG2.default.statistic.tsv.gz.\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:33:19 2024]\u001b[0m\n",
            "\u001b[32mlocalrule counts_dna_rna_merge_counts:\n",
            "    input: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_3_DNA_final_counts.config.default.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_3_RNA_final_counts.config.default.tsv.gz\n",
            "    output: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_3.merged.config.default.tsv.gz\n",
            "    log: results/logs/assigned_counts/MPRAworkshop/dna_rna_merge_counts.experimentMPRAworkshop.HepG2.3.default.log\n",
            "    jobid: 47\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_3.merged.config.default.tsv.gz; Input files updated by another job: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_3_DNA_final_counts.config.default.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_3_RNA_final_counts.config.default.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, raw_or_assigned=assigned_counts/MPRAworkshop, condition=HepG2, replicate=3, config=default\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:33:20 2024]\u001b[0m\n",
            "\u001b[32mFinished job 47.\u001b[0m\n",
            "\u001b[32m120 of 140 steps (86%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:33:20 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_correlation_bc_counts_hist:\n",
            "    input: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_1.merged.config.default.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_2.merged.config.default.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_3.merged.config.default.tsv.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/plot_perBCCounts_stats.R (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/barcode/assigned_counts/MPRAworkshop/HepG2_default_DNA_perBarcode.png, results/experiments/experimentMPRAworkshop/statistic/barcode/assigned_counts/MPRAworkshop/HepG2_default_RNA_perBarcode.png\n",
            "    log: results/logs/statistic/correlation/correlate_bc_counts_hist.experimentMPRAworkshop.HepG2.default.assigned_counts/MPRAworkshop.log\n",
            "    jobid: 44\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/barcode/assigned_counts/MPRAworkshop/HepG2_default_DNA_perBarcode.png, results/experiments/experimentMPRAworkshop/statistic/barcode/assigned_counts/MPRAworkshop/HepG2_default_RNA_perBarcode.png; Input files updated by another job: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_3.merged.config.default.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_1.merged.config.default.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_2.merged.config.default.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, raw_or_assigned=assigned_counts/MPRAworkshop, condition=HepG2, config=default\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/a97672b6846360f00f0e85ee53a46950_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:33:22 2024]\u001b[0m\n",
            "\u001b[32mFinished job 67.\u001b[0m\n",
            "\u001b[32m121 of 140 steps (86%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:33:22 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_correlation_bc_counts:\n",
            "    input: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_1.merged.config.default.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_2.merged.config.default.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_3.merged.config.default.tsv.gz, /data/MPRAsnakeflow/workflow/rules/../scripts/count/plot_perBCCounts_correlation.R (cached)\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/barcode/assigned_counts/MPRAworkshop/HepG2_default_barcode_DNA_pairwise.png, results/experiments/experimentMPRAworkshop/statistic/barcode/assigned_counts/MPRAworkshop/HepG2_default_barcode_RNA_pairwise.png, results/experiments/experimentMPRAworkshop/statistic/barcode/assigned_counts/MPRAworkshop/HepG2_default_barcode_Ratio_pairwise.png, results/experiments/experimentMPRAworkshop/statistic/barcode/assigned_counts/MPRAworkshop/HepG2_default_barcode_correlation.tsv\n",
            "    log: results/logs/statistic/correlation/correlate_bc_counts.experimentMPRAworkshop.HepG2.default.assigned_counts/MPRAworkshop.log\n",
            "    jobid: 121\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/barcode/assigned_counts/MPRAworkshop/HepG2_default_barcode_correlation.tsv; Input files updated by another job: results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_3.merged.config.default.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_1.merged.config.default.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_2.merged.config.default.tsv.gz\n",
            "    wildcards: project=experimentMPRAworkshop, raw_or_assigned=assigned_counts/MPRAworkshop, condition=HepG2, config=default\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/a97672b6846360f00f0e85ee53a46950_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:33:31 2024]\u001b[0m\n",
            "\u001b[32mFinished job 44.\u001b[0m\n",
            "\u001b[32m122 of 140 steps (87%) done\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:33:31 2024]\u001b[0m\n",
            "\u001b[32mFinished job 76.\u001b[0m\n",
            "\u001b[32m123 of 140 steps (88%) done\u001b[0m\n",
            "\u001b[33mRemoving temporary output results/experiments/experimentMPRAworkshop/counts/HepG2_3_RNA_final.BC.tsv.gz.\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:33:40 2024]\u001b[0m\n",
            "\u001b[32mFinished job 48.\u001b[0m\n",
            "\u001b[32m124 of 140 steps (89%) done\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:33:47 2024]\u001b[0m\n",
            "\u001b[32mFinished job 71.\u001b[0m\n",
            "\u001b[32m125 of 140 steps (89%) done\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:33:51 2024]\u001b[0m\n",
            "\u001b[32mFinished job 2.\u001b[0m\n",
            "\u001b[32m126 of 140 steps (90%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 2 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:33:51 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_correlation_combine_oligo:\n",
            "    input: results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_correlation.tsv, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_correlation_minThreshold.tsv\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/statistic_oligo_correlation_merged_MPRAworkshop_default.tsv\n",
            "    log: results/logs/statistic/correlation/combine_oligo.experimentMPRAworkshop.default.MPRAworkshop.log\n",
            "    jobid: 138\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/statistic_oligo_correlation_merged_MPRAworkshop_default.tsv; Input files updated by another job: results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_correlation_minThreshold.tsv, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_correlation.tsv\n",
            "    wildcards: project=experimentMPRAworkshop, assignment=MPRAworkshop, config=default\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:33:51 2024]\u001b[0m\n",
            "\u001b[32mlocalrule qc_report_count:\n",
            "    input: /data/MPRAsnakeflow/workflow/rules/../scripts/report/qc_report_count.qmd (cached), results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_DNA_pairwise_minThreshold.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_RNA_pairwise_minThreshold.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_RNA_pairwise.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_DNA_pairwise.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_Ratio_pairwise.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_Ratio_pairwise_minThreshold.png, results/experiments/experimentMPRAworkshop/statistic/statistic_assigned_counts_merged_MPRAworkshop_default.tsv, results/experiments/experimentMPRAworkshop/statistic/statistic_assigned_counts_single_MPRAworkshop_default.tsv, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_correlation.tsv, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_correlation_minThreshold.tsv, results/experiments/experimentMPRAworkshop/statistic/barcode/assigned_counts/MPRAworkshop/HepG2_default_DNA_perBarcode.png, results/experiments/experimentMPRAworkshop/statistic/barcode/assigned_counts/MPRAworkshop/HepG2_default_RNA_perBarcode.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_group_barcodesPerInsert_box.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_group_barcodesPerInsert_box_minThreshold.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_dna_vs_rna.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_dna_vs_rna_minThreshold.png\n",
            "    output: results/experiments/experimentMPRAworkshop/qc_report.HepG2.MPRAworkshop.default.html, results/experiments/experimentMPRAworkshop/qc_report.HepG2.MPRAworkshop.default.qmd\n",
            "    log: results/logs/qc_report/count.experimentMPRAworkshop.HepG2.MPRAworkshop.default.log\n",
            "    jobid: 1\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/qc_report.HepG2.MPRAworkshop.default.html; Input files updated by another job: results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_DNA_pairwise.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_dna_vs_rna_minThreshold.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_group_barcodesPerInsert_box_minThreshold.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_Ratio_pairwise.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_group_barcodesPerInsert_box.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_RNA_pairwise.png, results/experiments/experimentMPRAworkshop/statistic/statistic_assigned_counts_merged_MPRAworkshop_default.tsv, results/experiments/experimentMPRAworkshop/statistic/barcode/assigned_counts/MPRAworkshop/HepG2_default_DNA_perBarcode.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_correlation.tsv, results/experiments/experimentMPRAworkshop/statistic/statistic_assigned_counts_single_MPRAworkshop_default.tsv, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_DNA_pairwise_minThreshold.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_correlation_minThreshold.tsv, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_Ratio_pairwise_minThreshold.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_RNA_pairwise_minThreshold.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_dna_vs_rna.png, results/experiments/experimentMPRAworkshop/statistic/barcode/assigned_counts/MPRAworkshop/HepG2_default_RNA_perBarcode.png\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, assignment=MPRAworkshop, config=default\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/5e2aae8e57563b133d3b468a46fc84fb_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:33:51 2024]\u001b[0m\n",
            "\u001b[32mFinished job 138.\u001b[0m\n",
            "\u001b[32m127 of 140 steps (91%) done\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:34:03 2024]\u001b[0m\n",
            "\u001b[32mFinished job 50.\u001b[0m\n",
            "\u001b[32m128 of 140 steps (91%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 2 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:34:03 2024]\u001b[0m\n",
            "\u001b[32mlocalrule qc_report_count:\n",
            "    input: /data/MPRAsnakeflow/workflow/rules/../scripts/report/qc_report_count.qmd (cached), results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_DNA_pairwise_minThreshold.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_RNA_pairwise_minThreshold.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_RNA_pairwise.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_DNA_pairwise.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_Ratio_pairwise.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_Ratio_pairwise_minThreshold.png, results/experiments/experimentMPRAworkshop/statistic/statistic_assigned_counts_merged_MPRAworkshop_tutorialConfig.tsv, results/experiments/experimentMPRAworkshop/statistic/statistic_assigned_counts_single_MPRAworkshop_tutorialConfig.tsv, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_correlation.tsv, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_correlation_minThreshold.tsv, results/experiments/experimentMPRAworkshop/statistic/barcode/assigned_counts/MPRAworkshop/HepG2_tutorialConfig_DNA_perBarcode.png, results/experiments/experimentMPRAworkshop/statistic/barcode/assigned_counts/MPRAworkshop/HepG2_tutorialConfig_RNA_perBarcode.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_group_barcodesPerInsert_box.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_group_barcodesPerInsert_box_minThreshold.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_dna_vs_rna.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_dna_vs_rna_minThreshold.png\n",
            "    output: results/experiments/experimentMPRAworkshop/qc_report.HepG2.MPRAworkshop.tutorialConfig.html, results/experiments/experimentMPRAworkshop/qc_report.HepG2.MPRAworkshop.tutorialConfig.qmd\n",
            "    log: results/logs/qc_report/count.experimentMPRAworkshop.HepG2.MPRAworkshop.tutorialConfig.log\n",
            "    jobid: 49\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/qc_report.HepG2.MPRAworkshop.tutorialConfig.html; Input files updated by another job: results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_group_barcodesPerInsert_box.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_DNA_pairwise_minThreshold.png, results/experiments/experimentMPRAworkshop/statistic/statistic_assigned_counts_single_MPRAworkshop_tutorialConfig.tsv, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_Ratio_pairwise.png, results/experiments/experimentMPRAworkshop/statistic/statistic_assigned_counts_merged_MPRAworkshop_tutorialConfig.tsv, results/experiments/experimentMPRAworkshop/statistic/barcode/assigned_counts/MPRAworkshop/HepG2_tutorialConfig_RNA_perBarcode.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_correlation.tsv, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_DNA_pairwise.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_dna_vs_rna.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_dna_vs_rna_minThreshold.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_RNA_pairwise.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_Ratio_pairwise_minThreshold.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_RNA_pairwise_minThreshold.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_correlation_minThreshold.tsv, results/experiments/experimentMPRAworkshop/statistic/barcode/assigned_counts/MPRAworkshop/HepG2_tutorialConfig_DNA_perBarcode.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_group_barcodesPerInsert_box_minThreshold.png\n",
            "    wildcards: project=experimentMPRAworkshop, condition=HepG2, assignment=MPRAworkshop, config=tutorialConfig\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/5e2aae8e57563b133d3b468a46fc84fb_\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:34:03 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_correlation_combine_oligo:\n",
            "    input: results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_correlation.tsv, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_correlation_minThreshold.tsv\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/statistic_oligo_correlation_merged_MPRAworkshop_tutorialConfig.tsv\n",
            "    log: results/logs/statistic/correlation/combine_oligo.experimentMPRAworkshop.tutorialConfig.MPRAworkshop.log\n",
            "    jobid: 139\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/statistic_oligo_correlation_merged_MPRAworkshop_tutorialConfig.tsv; Input files updated by another job: results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_correlation_minThreshold.tsv, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_correlation.tsv\n",
            "    wildcards: project=experimentMPRAworkshop, assignment=MPRAworkshop, config=tutorialConfig\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:34:04 2024]\u001b[0m\n",
            "\u001b[32mFinished job 139.\u001b[0m\n",
            "\u001b[32m129 of 140 steps (92%) done\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:34:05 2024]\u001b[0m\n",
            "\u001b[32mFinished job 123.\u001b[0m\n",
            "\u001b[32m130 of 140 steps (93%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:34:05 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_correlation_combine_bc_assigned:\n",
            "    input: results/experiments/experimentMPRAworkshop/statistic/barcode/assigned_counts/MPRAworkshop/HepG2_tutorialConfig_barcode_correlation.tsv\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/statistic_assigned_bc_correlation_merged_MPRAworkshop_tutorialConfig.tsv\n",
            "    log: results/logs/statistic/correlation/combine_bc_assigned.experimentMPRAworkshop.MPRAworkshop_tutorialConfig.log\n",
            "    jobid: 122\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/statistic_assigned_bc_correlation_merged_MPRAworkshop_tutorialConfig.tsv; Input files updated by another job: results/experiments/experimentMPRAworkshop/statistic/barcode/assigned_counts/MPRAworkshop/HepG2_tutorialConfig_barcode_correlation.tsv\n",
            "    wildcards: project=experimentMPRAworkshop, assignment=MPRAworkshop, config=tutorialConfig\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:34:05 2024]\u001b[0m\n",
            "\u001b[32mFinished job 122.\u001b[0m\n",
            "\u001b[32m131 of 140 steps (94%) done\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:34:07 2024]\u001b[0m\n",
            "\u001b[32mFinished job 121.\u001b[0m\n",
            "\u001b[32m132 of 140 steps (94%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:34:07 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_correlation_combine_bc_assigned:\n",
            "    input: results/experiments/experimentMPRAworkshop/statistic/barcode/assigned_counts/MPRAworkshop/HepG2_default_barcode_correlation.tsv\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/statistic_assigned_bc_correlation_merged_MPRAworkshop_default.tsv\n",
            "    log: results/logs/statistic/correlation/combine_bc_assigned.experimentMPRAworkshop.MPRAworkshop_default.log\n",
            "    jobid: 120\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/statistic_assigned_bc_correlation_merged_MPRAworkshop_default.tsv; Input files updated by another job: results/experiments/experimentMPRAworkshop/statistic/barcode/assigned_counts/MPRAworkshop/HepG2_default_barcode_correlation.tsv\n",
            "    wildcards: project=experimentMPRAworkshop, assignment=MPRAworkshop, config=default\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:34:08 2024]\u001b[0m\n",
            "\u001b[32mFinished job 120.\u001b[0m\n",
            "\u001b[32m133 of 140 steps (95%) done\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:34:20 2024]\u001b[0m\n",
            "\u001b[32mFinished job 1.\u001b[0m\n",
            "\u001b[32m134 of 140 steps (96%) done\u001b[0m\n",
            "\u001b[33mRemoving temporary output results/experiments/experimentMPRAworkshop/qc_report.HepG2.MPRAworkshop.default.qmd.\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:34:23 2024]\u001b[0m\n",
            "\u001b[32mFinished job 49.\u001b[0m\n",
            "\u001b[32m135 of 140 steps (96%) done\u001b[0m\n",
            "\u001b[33mRemoving temporary output results/experiments/experimentMPRAworkshop/qc_report.HepG2.MPRAworkshop.tutorialConfig.qmd.\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:34:32 2024]\u001b[0m\n",
            "\u001b[32mFinished job 109.\u001b[0m\n",
            "\u001b[32m136 of 140 steps (97%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:34:32 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_correlation_combine_bc_raw:\n",
            "    input: results/experiments/experimentMPRAworkshop/statistic/barcode/counts/HepG2_default_barcode_correlation.tsv\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/statistic_bc_correlation_merged_default.tsv\n",
            "    log: results/logs/statistic/correlation/combine_bc_raw.experimentMPRAworkshop.default.log\n",
            "    jobid: 108\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/statistic_bc_correlation_merged_default.tsv; Input files updated by another job: results/experiments/experimentMPRAworkshop/statistic/barcode/counts/HepG2_default_barcode_correlation.tsv\n",
            "    wildcards: project=experimentMPRAworkshop, config=default\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:34:32 2024]\u001b[0m\n",
            "\u001b[32mFinished job 108.\u001b[0m\n",
            "\u001b[32m137 of 140 steps (98%) done\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:34:32 2024]\u001b[0m\n",
            "\u001b[32mFinished job 111.\u001b[0m\n",
            "\u001b[32m138 of 140 steps (99%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:34:32 2024]\u001b[0m\n",
            "\u001b[32mlocalrule statistic_correlation_combine_bc_raw:\n",
            "    input: results/experiments/experimentMPRAworkshop/statistic/barcode/counts/HepG2_tutorialConfig_barcode_correlation.tsv\n",
            "    output: results/experiments/experimentMPRAworkshop/statistic/statistic_bc_correlation_merged_tutorialConfig.tsv\n",
            "    log: results/logs/statistic/correlation/combine_bc_raw.experimentMPRAworkshop.tutorialConfig.log\n",
            "    jobid: 110\n",
            "    reason: Missing output files: results/experiments/experimentMPRAworkshop/statistic/statistic_bc_correlation_merged_tutorialConfig.tsv; Input files updated by another job: results/experiments/experimentMPRAworkshop/statistic/barcode/counts/HepG2_tutorialConfig_barcode_correlation.tsv\n",
            "    wildcards: project=experimentMPRAworkshop, config=tutorialConfig\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[33mActivating conda environment: ../conda_envs/ec92106e14f6232977fd0918d24cb216_\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:34:32 2024]\u001b[0m\n",
            "\u001b[32mFinished job 110.\u001b[0m\n",
            "\u001b[32m139 of 140 steps (99%) done\u001b[0m\n",
            "\u001b[33mSelect jobs to execute...\u001b[0m\n",
            "\u001b[33mExecute 1 jobs...\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:34:32 2024]\u001b[0m\n",
            "\u001b[32mlocalrule all:\n",
            "    input: results/experiments/experimentMPRAworkshop/qc_report.HepG2.MPRAworkshop.default.html, results/experiments/experimentMPRAworkshop/qc_report.HepG2.MPRAworkshop.tutorialConfig.html, results/experiments/experimentMPRAworkshop/statistic/counts/BCNucleotideComposition.HepG2_1_RNA.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/counts/BCNucleotideComposition.HepG2_1_DNA.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/counts/BCNucleotideComposition.HepG2_2_RNA.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/counts/BCNucleotideComposition.HepG2_2_DNA.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/counts/BCNucleotideComposition.HepG2_3_RNA.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/counts/BCNucleotideComposition.HepG2_3_DNA.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/counts.raw.tsv, results/experiments/experimentMPRAworkshop/statistic/counts.filtered.tsv, results/experiments/experimentMPRAworkshop/statistic/counts.freqUMIs.HepG2_1_RNA.txt, results/experiments/experimentMPRAworkshop/statistic/counts.freqUMIs.HepG2_1_DNA.txt, results/experiments/experimentMPRAworkshop/statistic/counts.freqUMIs.HepG2_2_RNA.txt, results/experiments/experimentMPRAworkshop/statistic/counts.freqUMIs.HepG2_2_DNA.txt, results/experiments/experimentMPRAworkshop/statistic/counts.freqUMIs.HepG2_3_RNA.txt, results/experiments/experimentMPRAworkshop/statistic/counts.freqUMIs.HepG2_3_DNA.txt, results/experiments/experimentMPRAworkshop/statistic/statistic_bc_correlation_merged_default.tsv, results/experiments/experimentMPRAworkshop/statistic/statistic_bc_correlation_merged_tutorialConfig.tsv, results/experiments/experimentMPRAworkshop/statistic/barcode/counts/HepG2_default_DNA_perBarcode.png, results/experiments/experimentMPRAworkshop/statistic/barcode/counts/HepG2_default_RNA_perBarcode.png, results/experiments/experimentMPRAworkshop/statistic/barcode/counts/HepG2_tutorialConfig_DNA_perBarcode.png, results/experiments/experimentMPRAworkshop/statistic/barcode/counts/HepG2_tutorialConfig_RNA_perBarcode.png, results/experiments/experimentMPRAworkshop/statistic/barcode/assigned_counts/MPRAworkshop/HepG2_default_DNA_perBarcode.png, results/experiments/experimentMPRAworkshop/statistic/barcode/assigned_counts/MPRAworkshop/HepG2_default_RNA_perBarcode.png, results/experiments/experimentMPRAworkshop/statistic/barcode/assigned_counts/MPRAworkshop/HepG2_tutorialConfig_DNA_perBarcode.png, results/experiments/experimentMPRAworkshop/statistic/barcode/assigned_counts/MPRAworkshop/HepG2_tutorialConfig_RNA_perBarcode.png, results/experiments/experimentMPRAworkshop/statistic/bc_overlap.counts.default.tsv, results/experiments/experimentMPRAworkshop/statistic/bc_overlap.counts.tutorialConfig.tsv, results/experiments/experimentMPRAworkshop/statistic/statistic_assigned_bc_correlation_merged_MPRAworkshop_default.tsv, results/experiments/experimentMPRAworkshop/statistic/statistic_assigned_bc_correlation_merged_MPRAworkshop_tutorialConfig.tsv, results/experiments/experimentMPRAworkshop/statistic/bc_overlap.assigned_counts.default.MPRAworkshop.tsv, results/experiments/experimentMPRAworkshop/statistic/bc_overlap.assigned_counts.tutorialConfig.MPRAworkshop.tsv, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_allreps_merged.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_allreps_merged.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_allreps_merged.combined.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_allreps_merged.combined.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_allreps_minThreshold_merged.combined.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_allreps_minThreshold_merged.combined.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_allreps_merged_barcode_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_allreps_merged_barcode_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_group_barcodesPerInsert_box.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_group_barcodesPerInsert_box.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_group_barcodesPerInsert_box_minThreshold.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_group_barcodesPerInsert_box_minThreshold.png, results/experiments/experimentMPRAworkshop/statistic/statistic_assigned_counts_merged_MPRAworkshop_default.tsv, results/experiments/experimentMPRAworkshop/statistic/statistic_assigned_counts_merged_MPRAworkshop_tutorialConfig.tsv, results/experiments/experimentMPRAworkshop/statistic/statistic_oligo_correlation_merged_MPRAworkshop_default.tsv, results/experiments/experimentMPRAworkshop/statistic/statistic_oligo_correlation_merged_MPRAworkshop_tutorialConfig.tsv, results/experiments/experimentMPRAworkshop/statistic/statistic_assigned_counts_single_MPRAworkshop_default.tsv, results/experiments/experimentMPRAworkshop/statistic/statistic_assigned_counts_single_MPRAworkshop_tutorialConfig.tsv\n",
            "    jobid: 0\n",
            "    reason: Input files updated by another job: results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_group_barcodesPerInsert_box.png, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_group_barcodesPerInsert_box_minThreshold.png, results/experiments/experimentMPRAworkshop/statistic/statistic_assigned_counts_single_MPRAworkshop_tutorialConfig.tsv, results/experiments/experimentMPRAworkshop/statistic/counts.freqUMIs.HepG2_3_RNA.txt, results/experiments/experimentMPRAworkshop/statistic/statistic_oligo_correlation_merged_MPRAworkshop_tutorialConfig.tsv, results/experiments/experimentMPRAworkshop/statistic/statistic_assigned_bc_correlation_merged_MPRAworkshop_tutorialConfig.tsv, results/experiments/experimentMPRAworkshop/statistic/counts.filtered.tsv, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_allreps_merged.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/barcode/counts/HepG2_tutorialConfig_RNA_perBarcode.png, results/experiments/experimentMPRAworkshop/statistic/statistic_assigned_bc_correlation_merged_MPRAworkshop_default.tsv, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_allreps_merged.combined.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/counts/BCNucleotideComposition.HepG2_3_DNA.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/barcode/counts/HepG2_default_DNA_perBarcode.png, results/experiments/experimentMPRAworkshop/statistic/counts/BCNucleotideComposition.HepG2_2_RNA.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/statistic_assigned_counts_single_MPRAworkshop_default.tsv, results/experiments/experimentMPRAworkshop/statistic/counts/BCNucleotideComposition.HepG2_2_DNA.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/barcode/counts/HepG2_tutorialConfig_DNA_perBarcode.png, results/experiments/experimentMPRAworkshop/statistic/counts.freqUMIs.HepG2_1_RNA.txt, results/experiments/experimentMPRAworkshop/statistic/bc_overlap.assigned_counts.tutorialConfig.MPRAworkshop.tsv, results/experiments/experimentMPRAworkshop/statistic/counts.freqUMIs.HepG2_3_DNA.txt, results/experiments/experimentMPRAworkshop/statistic/counts/BCNucleotideComposition.HepG2_1_DNA.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/bc_overlap.assigned_counts.default.MPRAworkshop.tsv, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_allreps_merged.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_group_barcodesPerInsert_box_minThreshold.png, results/experiments/experimentMPRAworkshop/statistic/bc_overlap.counts.tutorialConfig.tsv, results/experiments/experimentMPRAworkshop/statistic/statistic_bc_correlation_merged_default.tsv, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_allreps_merged.combined.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/counts.raw.tsv, results/experiments/experimentMPRAworkshop/statistic/statistic_bc_correlation_merged_tutorialConfig.tsv, results/experiments/experimentMPRAworkshop/statistic/counts/BCNucleotideComposition.HepG2_1_RNA.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_allreps_merged_barcode_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/counts.freqUMIs.HepG2_1_DNA.txt, results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_group_barcodesPerInsert_box.png, results/experiments/experimentMPRAworkshop/statistic/barcode/counts/HepG2_default_RNA_perBarcode.png, results/experiments/experimentMPRAworkshop/statistic/barcode/assigned_counts/MPRAworkshop/HepG2_tutorialConfig_RNA_perBarcode.png, results/experiments/experimentMPRAworkshop/statistic/statistic_assigned_counts_merged_MPRAworkshop_tutorialConfig.tsv, results/experiments/experimentMPRAworkshop/qc_report.HepG2.MPRAworkshop.default.html, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default/HepG2_allreps_minThreshold_merged.combined.tsv.gz, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_allreps_merged_barcode_assigned_counts.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/barcode/assigned_counts/MPRAworkshop/HepG2_default_DNA_perBarcode.png, results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_allreps_minThreshold_merged.combined.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/statistic_assigned_counts_merged_MPRAworkshop_default.tsv, results/experiments/experimentMPRAworkshop/statistic/counts.freqUMIs.HepG2_2_DNA.txt, results/experiments/experimentMPRAworkshop/qc_report.HepG2.MPRAworkshop.tutorialConfig.html, results/experiments/experimentMPRAworkshop/statistic/bc_overlap.counts.default.tsv, results/experiments/experimentMPRAworkshop/statistic/statistic_oligo_correlation_merged_MPRAworkshop_default.tsv, results/experiments/experimentMPRAworkshop/statistic/counts.freqUMIs.HepG2_2_RNA.txt, results/experiments/experimentMPRAworkshop/statistic/barcode/assigned_counts/MPRAworkshop/HepG2_tutorialConfig_DNA_perBarcode.png, results/experiments/experimentMPRAworkshop/statistic/counts/BCNucleotideComposition.HepG2_3_RNA.tsv.gz, results/experiments/experimentMPRAworkshop/statistic/barcode/assigned_counts/MPRAworkshop/HepG2_default_RNA_perBarcode.png\n",
            "    resources: tmpdir=/tmp\u001b[0m\n",
            "\u001b[32m\u001b[0m\n",
            "\u001b[32m[Wed Sep 18 14:34:32 2024]\u001b[0m\n",
            "\u001b[32mFinished job 0.\u001b[0m\n",
            "\u001b[32m140 of 140 steps (100%) done\u001b[0m\n",
            "\u001b[33mComplete log: .snakemake/log/2024-09-18T142150.817030.snakemake.log\u001b[0m\n"
          ]
        }
      ],
      "source": [
        "runContainer(\"snakemake --configfile config_experiment.yaml -c 10\")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## Experiment results\n",
        "\n",
        "Let's take a look at the files in the experiment results folder!"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 14,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "MPRAsnakeflow_tutorial/results/experiments:\n",
            "experimentMPRAworkshop\n",
            "\n",
            "MPRAsnakeflow_tutorial/results/experiments/experimentMPRAworkshop:\n",
            "assigned_counts  qc_report.HepG2.MPRAworkshop.default.html\n",
            "assignment\t qc_report.HepG2.MPRAworkshop.tutorialConfig.html\n",
            "counts\t\t statistic\n",
            "\n",
            "MPRAsnakeflow_tutorial/results/experiments/experimentMPRAworkshop/assigned_counts:\n",
            "MPRAworkshop\n",
            "\n",
            "MPRAsnakeflow_tutorial/results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop:\n",
            "HepG2_1.merged.config.default.tsv.gz\n",
            "HepG2_1.merged.config.tutorialConfig.tsv.gz\n",
            "HepG2_1_DNA_final_counts.config.default.tsv.gz\n",
            "HepG2_1_DNA_final_counts.config.tutorialConfig.tsv.gz\n",
            "HepG2_1_RNA_final_counts.config.default.tsv.gz\n",
            "HepG2_1_RNA_final_counts.config.tutorialConfig.tsv.gz\n",
            "HepG2_2.merged.config.default.tsv.gz\n",
            "HepG2_2.merged.config.tutorialConfig.tsv.gz\n",
            "HepG2_2_DNA_final_counts.config.default.tsv.gz\n",
            "HepG2_2_DNA_final_counts.config.tutorialConfig.tsv.gz\n",
            "HepG2_2_RNA_final_counts.config.default.tsv.gz\n",
            "HepG2_2_RNA_final_counts.config.tutorialConfig.tsv.gz\n",
            "HepG2_3.merged.config.default.tsv.gz\n",
            "HepG2_3.merged.config.tutorialConfig.tsv.gz\n",
            "HepG2_3_DNA_final_counts.config.default.tsv.gz\n",
            "HepG2_3_DNA_final_counts.config.tutorialConfig.tsv.gz\n",
            "HepG2_3_RNA_final_counts.config.default.tsv.gz\n",
            "HepG2_3_RNA_final_counts.config.tutorialConfig.tsv.gz\n",
            "default\n",
            "tutorialConfig\n",
            "\n",
            "MPRAsnakeflow_tutorial/results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/default:\n",
            "HepG2_1_barcode_assigned_counts.tsv.gz\n",
            "HepG2_1_merged_assigned_counts.tsv.gz\n",
            "HepG2_2_barcode_assigned_counts.tsv.gz\n",
            "HepG2_2_merged_assigned_counts.tsv.gz\n",
            "HepG2_3_barcode_assigned_counts.tsv.gz\n",
            "HepG2_3_merged_assigned_counts.tsv.gz\n",
            "HepG2_allreps_merged.combined.tsv.gz\n",
            "HepG2_allreps_merged.tsv.gz\n",
            "HepG2_allreps_merged_barcode_assigned_counts.tsv.gz\n",
            "HepG2_allreps_minThreshold_merged.combined.tsv.gz\n",
            "HepG2_allreps_minThreshold_merged.tsv.gz\n",
            "\n",
            "MPRAsnakeflow_tutorial/results/experiments/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig:\n",
            "HepG2_1_barcode_assigned_counts.tsv.gz\n",
            "HepG2_1_merged_assigned_counts.tsv.gz\n",
            "HepG2_2_barcode_assigned_counts.tsv.gz\n",
            "HepG2_2_merged_assigned_counts.tsv.gz\n",
            "HepG2_3_barcode_assigned_counts.tsv.gz\n",
            "HepG2_3_merged_assigned_counts.tsv.gz\n",
            "HepG2_allreps_merged.combined.tsv.gz\n",
            "HepG2_allreps_merged.tsv.gz\n",
            "HepG2_allreps_merged_barcode_assigned_counts.tsv.gz\n",
            "HepG2_allreps_minThreshold_merged.combined.tsv.gz\n",
            "HepG2_allreps_minThreshold_merged.tsv.gz\n",
            "\n",
            "MPRAsnakeflow_tutorial/results/experiments/experimentMPRAworkshop/assignment:\n",
            "MPRAworkshop.tsv.gz\n",
            "\n",
            "MPRAsnakeflow_tutorial/results/experiments/experimentMPRAworkshop/counts:\n",
            "HepG2_1.merged.config.default.tsv.gz\n",
            "HepG2_1.merged.config.tutorialConfig.tsv.gz\n",
            "HepG2_1_DNA_filtered_counts.tsv.gz\n",
            "HepG2_1_DNA_final_counts.tsv.gz\n",
            "HepG2_1_RNA_filtered_counts.tsv.gz\n",
            "HepG2_1_RNA_final_counts.tsv.gz\n",
            "HepG2_2.merged.config.default.tsv.gz\n",
            "HepG2_2.merged.config.tutorialConfig.tsv.gz\n",
            "HepG2_2_DNA_filtered_counts.tsv.gz\n",
            "HepG2_2_DNA_final_counts.tsv.gz\n",
            "HepG2_2_RNA_filtered_counts.tsv.gz\n",
            "HepG2_2_RNA_final_counts.tsv.gz\n",
            "HepG2_3.merged.config.default.tsv.gz\n",
            "HepG2_3.merged.config.tutorialConfig.tsv.gz\n",
            "HepG2_3_DNA_filtered_counts.tsv.gz\n",
            "HepG2_3_DNA_final_counts.tsv.gz\n",
            "HepG2_3_RNA_filtered_counts.tsv.gz\n",
            "HepG2_3_RNA_final_counts.tsv.gz\n",
            "useUMI.HepG2_1_DNA.bam\n",
            "useUMI.HepG2_1_DNA_raw_counts.tsv.gz\n",
            "useUMI.HepG2_1_RNA.bam\n",
            "useUMI.HepG2_1_RNA_raw_counts.tsv.gz\n",
            "useUMI.HepG2_2_DNA.bam\n",
            "useUMI.HepG2_2_DNA_raw_counts.tsv.gz\n",
            "useUMI.HepG2_2_RNA.bam\n",
            "useUMI.HepG2_2_RNA_raw_counts.tsv.gz\n",
            "useUMI.HepG2_3_DNA.bam\n",
            "useUMI.HepG2_3_DNA_raw_counts.tsv.gz\n",
            "useUMI.HepG2_3_RNA.bam\n",
            "useUMI.HepG2_3_RNA_raw_counts.tsv.gz\n",
            "\n",
            "MPRAsnakeflow_tutorial/results/experiments/experimentMPRAworkshop/statistic:\n",
            "assigned_counts\n",
            "barcode\n",
            "bc_overlap.assigned_counts.default.MPRAworkshop.tsv\n",
            "bc_overlap.assigned_counts.tutorialConfig.MPRAworkshop.tsv\n",
            "bc_overlap.counts.default.tsv\n",
            "bc_overlap.counts.tutorialConfig.tsv\n",
            "counts\n",
            "counts.filtered.tsv\n",
            "counts.freqUMIs.HepG2_1_DNA.txt\n",
            "counts.freqUMIs.HepG2_1_RNA.txt\n",
            "counts.freqUMIs.HepG2_2_DNA.txt\n",
            "counts.freqUMIs.HepG2_2_RNA.txt\n",
            "counts.freqUMIs.HepG2_3_DNA.txt\n",
            "counts.freqUMIs.HepG2_3_RNA.txt\n",
            "counts.raw.tsv\n",
            "statistic_assigned_bc_correlation_merged_MPRAworkshop_default.tsv\n",
            "statistic_assigned_bc_correlation_merged_MPRAworkshop_tutorialConfig.tsv\n",
            "statistic_assigned_counts_merged_MPRAworkshop_default.tsv\n",
            "statistic_assigned_counts_merged_MPRAworkshop_tutorialConfig.tsv\n",
            "statistic_assigned_counts_single_MPRAworkshop_default.tsv\n",
            "statistic_assigned_counts_single_MPRAworkshop_tutorialConfig.tsv\n",
            "statistic_bc_correlation_merged_default.tsv\n",
            "statistic_bc_correlation_merged_tutorialConfig.tsv\n",
            "statistic_oligo_correlation_merged_MPRAworkshop_default.tsv\n",
            "statistic_oligo_correlation_merged_MPRAworkshop_tutorialConfig.tsv\n",
            "\n",
            "MPRAsnakeflow_tutorial/results/experiments/experimentMPRAworkshop/statistic/assigned_counts:\n",
            "MPRAworkshop\n",
            "\n",
            "MPRAsnakeflow_tutorial/results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop:\n",
            "HepG2_1_DNA_default.statistic.tsv.gz\n",
            "HepG2_1_DNA_tutorialConfig.statistic.tsv.gz\n",
            "HepG2_1_RNA_default.statistic.tsv.gz\n",
            "HepG2_1_RNA_tutorialConfig.statistic.tsv.gz\n",
            "HepG2_2_DNA_default.statistic.tsv.gz\n",
            "HepG2_2_DNA_tutorialConfig.statistic.tsv.gz\n",
            "HepG2_2_RNA_default.statistic.tsv.gz\n",
            "HepG2_2_RNA_tutorialConfig.statistic.tsv.gz\n",
            "HepG2_3_DNA_default.statistic.tsv.gz\n",
            "HepG2_3_DNA_tutorialConfig.statistic.tsv.gz\n",
            "HepG2_3_RNA_default.statistic.tsv.gz\n",
            "HepG2_3_RNA_tutorialConfig.statistic.tsv.gz\n",
            "default\n",
            "tutorialConfig\n",
            "\n",
            "MPRAsnakeflow_tutorial/results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default:\n",
            "HepG2_1_merged_assigned_counts.statistic.tsv.gz\n",
            "HepG2_2_merged_assigned_counts.statistic.tsv.gz\n",
            "HepG2_3_merged_assigned_counts.statistic.tsv.gz\n",
            "HepG2_DNA_pairwise.png\n",
            "HepG2_DNA_pairwise_minThreshold.png\n",
            "HepG2_RNA_pairwise.png\n",
            "HepG2_RNA_pairwise_minThreshold.png\n",
            "HepG2_Ratio_pairwise.png\n",
            "HepG2_Ratio_pairwise_minThreshold.png\n",
            "HepG2_average_allreps_merged.tsv.gz\n",
            "HepG2_barcodesPerInsert.png\n",
            "HepG2_correlation.tsv\n",
            "HepG2_correlation_minThreshold.tsv\n",
            "HepG2_dna_vs_rna.png\n",
            "HepG2_dna_vs_rna_minThreshold.png\n",
            "HepG2_group_barcodesPerInsert_box.png\n",
            "HepG2_group_barcodesPerInsert_box_minThreshold.png\n",
            "combined\n",
            "\n",
            "MPRAsnakeflow_tutorial/results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/combined:\n",
            "HepG2_merged_assigned_counts.statistic.tsv.gz\n",
            "\n",
            "MPRAsnakeflow_tutorial/results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig:\n",
            "HepG2_1_merged_assigned_counts.statistic.tsv.gz\n",
            "HepG2_2_merged_assigned_counts.statistic.tsv.gz\n",
            "HepG2_3_merged_assigned_counts.statistic.tsv.gz\n",
            "HepG2_DNA_pairwise.png\n",
            "HepG2_DNA_pairwise_minThreshold.png\n",
            "HepG2_RNA_pairwise.png\n",
            "HepG2_RNA_pairwise_minThreshold.png\n",
            "HepG2_Ratio_pairwise.png\n",
            "HepG2_Ratio_pairwise_minThreshold.png\n",
            "HepG2_average_allreps_merged.tsv.gz\n",
            "HepG2_barcodesPerInsert.png\n",
            "HepG2_correlation.tsv\n",
            "HepG2_correlation_minThreshold.tsv\n",
            "HepG2_dna_vs_rna.png\n",
            "HepG2_dna_vs_rna_minThreshold.png\n",
            "HepG2_group_barcodesPerInsert_box.png\n",
            "HepG2_group_barcodesPerInsert_box_minThreshold.png\n",
            "combined\n",
            "\n",
            "MPRAsnakeflow_tutorial/results/experiments/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/combined:\n",
            "HepG2_merged_assigned_counts.statistic.tsv.gz\n",
            "\n",
            "MPRAsnakeflow_tutorial/results/experiments/experimentMPRAworkshop/statistic/barcode:\n",
            "assigned_counts  counts\n",
            "\n",
            "MPRAsnakeflow_tutorial/results/experiments/experimentMPRAworkshop/statistic/barcode/assigned_counts:\n",
            "MPRAworkshop\n",
            "\n",
            "MPRAsnakeflow_tutorial/results/experiments/experimentMPRAworkshop/statistic/barcode/assigned_counts/MPRAworkshop:\n",
            "HepG2_default_DNA_perBarcode.png\n",
            "HepG2_default_RNA_perBarcode.png\n",
            "HepG2_default_barcode_DNA_pairwise.png\n",
            "HepG2_default_barcode_RNA_pairwise.png\n",
            "HepG2_default_barcode_Ratio_pairwise.png\n",
            "HepG2_default_barcode_correlation.tsv\n",
            "HepG2_tutorialConfig_DNA_perBarcode.png\n",
            "HepG2_tutorialConfig_RNA_perBarcode.png\n",
            "HepG2_tutorialConfig_barcode_DNA_pairwise.png\n",
            "HepG2_tutorialConfig_barcode_RNA_pairwise.png\n",
            "HepG2_tutorialConfig_barcode_Ratio_pairwise.png\n",
            "HepG2_tutorialConfig_barcode_correlation.tsv\n",
            "\n",
            "MPRAsnakeflow_tutorial/results/experiments/experimentMPRAworkshop/statistic/barcode/counts:\n",
            "HepG2_default_DNA_perBarcode.png\n",
            "HepG2_default_RNA_perBarcode.png\n",
            "HepG2_default_barcode_DNA_pairwise.png\n",
            "HepG2_default_barcode_RNA_pairwise.png\n",
            "HepG2_default_barcode_Ratio_pairwise.png\n",
            "HepG2_default_barcode_correlation.tsv\n",
            "HepG2_tutorialConfig_DNA_perBarcode.png\n",
            "HepG2_tutorialConfig_RNA_perBarcode.png\n",
            "HepG2_tutorialConfig_barcode_DNA_pairwise.png\n",
            "HepG2_tutorialConfig_barcode_RNA_pairwise.png\n",
            "HepG2_tutorialConfig_barcode_Ratio_pairwise.png\n",
            "HepG2_tutorialConfig_barcode_correlation.tsv\n",
            "\n",
            "MPRAsnakeflow_tutorial/results/experiments/experimentMPRAworkshop/statistic/counts:\n",
            "BCNucleotideComposition.HepG2_1_DNA.tsv.gz\n",
            "BCNucleotideComposition.HepG2_1_RNA.tsv.gz\n",
            "BCNucleotideComposition.HepG2_2_DNA.tsv.gz\n",
            "BCNucleotideComposition.HepG2_2_RNA.tsv.gz\n",
            "BCNucleotideComposition.HepG2_3_DNA.tsv.gz\n",
            "BCNucleotideComposition.HepG2_3_RNA.tsv.gz\n"
          ]
        }
      ],
      "source": [
        "results_dir = \"MPRAsnakeflow_tutorial/results/experiments\"\n",
        "!ls -R \"{results_dir}\""
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "We can take a look at the amount of barcodes that have been removed due to UMI collision, by checking how many unique BC x UMI combinations we have in our data. (We are now checking the RNA counts in replicate 1, but we should look at both DNA and RNA counts in all three replicates.)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 15,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "First few lines of a count file, where column 1 contains the barcode, 2 the UMI and 3 the count.\n",
            "AAAAAAAAAAAAAAA\tCGAAGTACACTTTCCG\t1\n",
            "AAAAAAAAAAAAAAA\tTATAGTAAACACGCCC\t1\n",
            "AAAAAAAAAAAAAGG\tCGTGAGCAGGATTAAG\t1\n",
            "AAAAAAAAAACAAGT\tCTATCCGCACTGTGTC\t1\n",
            "AAAAAAAAAACCCAA\tTTCCTAGGGACAGTCC\t1\n",
            "AAAAAAAAAAGATGC\tGGAGCATGTAATGGGT\t1\n",
            "AAAAAAAAAAGCTGC\tAAGATATACGGACGAT\t1\n",
            "AAAAAAAAAAGCTGC\tAGAGGTTAGAAGGGCA\t1\n",
            "AAAAAAAAAAGCTGC\tATATGGACCGCCCTGG\t1\n",
            "AAAAAAAAAAGCTGC\tCATGCACCCTGCATAA\t1\n",
            "\n",
            "Amount of total BC x UMI combinations:\n",
            "871819\n",
            "\n",
            "Amount of duplicate BC x UMI combinations (the file is sorted):\n",
            "0\n"
          ]
        }
      ],
      "source": [
        "print(\"First few lines of a count file, where column 1 contains the barcode, 2 the UMI and 3 the count.\")\n",
        "!zcat \"{results_dir}\"/experimentMPRAworkshop/counts/HepG2_1_RNA_filtered_counts.tsv.gz | awk 'NR <= 10 {{print}}'\n",
        "\n",
        "print(\"\\nAmount of total BC x UMI combinations:\")\n",
        "!zcat \"{results_dir}\"/experimentMPRAworkshop/counts/HepG2_1_RNA_filtered_counts.tsv.gz | wc -l\n",
        "\n",
        "print(\"\\nAmount of duplicate BC x UMI combinations (the file is sorted):\")\n",
        "!zcat \"{results_dir}\"/experimentMPRAworkshop/counts/HepG2_1_RNA_filtered_counts.tsv.gz | uniq -d | wc -l"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "There are no collisions, indicating that this subset of the data is of high quality. Great!"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "The count files are then joined with the assignment file (the output of the assignment step) to assign counts to oligos. The barcode counts are then aggregated over the oligos. This is done within MPRAsnakeflow with additional filter steps, but to give you a feeling of what's happening we give you some simplified code below:"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 16,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Joining the assignment and the counts of replicate 1:\n",
            "\n",
            "Barcode\toligo\tDNA\tRNA\n",
            "AAAAAAAAATCGATC\toligo_006917\t2\t3\n",
            "AAAAAAAACACATGA\toligo_005412\t11\t4\n",
            "AAAAAAAACAGTAAG\toligo_006290\t4\t3\n",
            "AAAAAAAACCAAATA\toligo_189277\t3\t2\n",
            "AAAAAAAACGAACAG\toligo_005299\t4\t1\n",
            "AAAAAAAAGAATTAC\toligo_144932\t4\t4\n",
            "AAAAAAAAGAGTAGT\toligo_006091\t7\t10\n",
            "AAAAAAACCGCACAT\toligo_005747\t1\t4\n",
            "AAAAAAAGACCTAAG\toligo_006429\t1\t4\n",
            "AAAAAAAGAGGTAAA\toligo_006350\t4\t6\n",
            "\n",
            "Aggregating the barcodes over oligos and the counts of replicate 1:\n",
            "\n",
            "oligo\tDNA\tRNA\n",
            "oligo_002500\t23\t41\n",
            "oligo_002501:oligo_002502\t12\t26\n",
            "oligo_002503\t14\t24\n",
            "oligo_002504\t1\t2\n",
            "oligo_002505\t24\t41\n",
            "oligo_002506\t7\t15\n",
            "oligo_002507\t11\t20\n",
            "oligo_002508\t11\t29\n",
            "oligo_002510\t15\t31\n",
            "oligo_002511\t24\t30\n"
          ]
        }
      ],
      "source": [
        "counts_rep1 = os.path.join(results_dir, \"experimentMPRAworkshop/assigned_counts/MPRAworkshop/HepG2_1.merged.config.tutorialConfig.tsv.gz\")\n",
        "assignment = \"MPRAsnakeflow_tutorial/example_data/assignment/assignment_barcodes.default.tsv.gz\"\n",
        "\n",
        "print(\"Joining the assignment and the counts of replicate 1:\\n\\nBarcode\\toligo\\tDNA\\tRNA\")\n",
        "!join <(zcat {assignment}) <(zcat {counts_rep1}) -t $'\\t' | cut -f 1,2,5-6 | awk 'NR <= 10 {{print}}'\n",
        "\n",
        "print(\"\\nAggregating the barcodes over oligos and the counts of replicate 1:\\n\\noligo\\tDNA\\tRNA\")\n",
        "!join <(zcat {assignment}) <(zcat {counts_rep1}) -t $'\\t' | cut -f 1,2,5-6 | sort -k2,2 | \\\n",
        " awk -v OFS=\"\\t\" '{{if ($$2 == prev) {{dna += $$3; rna += $$4}} else {{ if (NR > 1) print prev,dna,rna; prev=$$2; dna=$$3;rna=$$4}}}}' | awk 'NR <= 10 {{print}}'"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "In the next steps, barcodes are already aggregated to their oligos/targets.  \n",
        "  \n",
        "We will have a look at the correlation plots between the replicates for DNA and RNA now. Typically, we will sequence RNA counts deeper than DNA -- because of the larger dynamic range of RNA. We therefore expect that the correlation of RNA counts is higher than that of the DNA. Our example data shows this trend as well.\n",
        "\n",
        "We have a correlation of DNA counts per insert between the replicates of 0.27 and 0.31. This correlation is for a subset of the complete MPRA experiment. The shown output uses the user set minThreshold for removing barcodes with too few counts. In order to see the influence of the parameter another plot is generated without this threshold."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "With the threshold of 5 barcodes per oligo and at least one DNA and RNA count\n",
        "- DNA correlation: 0.28 - 0.31\n",
        "- RNA correlation: 0.68 - 0.70"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 17,
      "metadata": {},
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "dna_pairwise = cv2.imread(f'{results_dir}/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_DNA_pairwise_minThreshold.png')\n",
        "\n",
        "dna_pairwise_resize = cv2.resize(dna_pairwise, (600, 1000))\n",
        "\n",
        "plt.imshow(dna_pairwise_resize)\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 18,
      "metadata": {},
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "rna_pairwise = cv2.imread(f'{results_dir}/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_RNA_pairwise_minThreshold.png')\n",
        "\n",
        "rna_pairwise_no_thresh_resize = cv2.resize(rna_pairwise, (600, 1000))\n",
        "\n",
        "plt.imshow(rna_pairwise_no_thresh_resize)\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "In the following two figures you can see that this trend is continues for a threshold of 10 barcodes per insert.\n",
        "- DNA correlation: 0.31 - 0.39\n",
        "- RNA correlation: 0.79 - 0.80"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 19,
      "metadata": {},
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "dna_pairwise_no_thresh = cv2.imread(f'{results_dir}/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_DNA_pairwise_minThreshold.png')\n",
        "\n",
        "dna_pairwise_no_thresh_resize = cv2.resize(dna_pairwise_no_thresh, (600, 1000))\n",
        "\n",
        "plt.imshow(dna_pairwise_no_thresh_resize)\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 20,
      "metadata": {},
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "rna_pairwise_no_thresh = cv2.imread(f'{results_dir}/experimentMPRAworkshop/statistic/assigned_counts/MPRAworkshop/default/HepG2_RNA_pairwise_minThreshold.png')\n",
        "\n",
        "rna_pairwise_no_thresh_resize = cv2.resize(rna_pairwise_no_thresh, (600, 1000))\n",
        "\n",
        "plt.imshow(rna_pairwise_no_thresh_resize)\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Even though it is a small example, the minimal barcode count threshold shows a clear effect on correlation. However, we also note that we are losing a proprotion of oligos with these strict filters and thereby limit the conclusions that we can draw from the data."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Now we want go through the final output of MPRAsnakeflow: the count table of sequences and barcodes together with their aggregated log2 values. Note that there are no statistics calculated at this step yet, the table doesn't say anything about certainty/variance of the activity. The log2 value refers to the log2 ratio of RNA counts over DNA counts for each oligo, which is a measurement of the activity of the target sequence. More on this in the statistical analysis tutorial."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 21,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "condition\treplicate\tname\tdna_counts\trna_counts\tdna_normalized\trna_normalized\tratio\tlog2\tn_obs_bc\n",
            "HepG2\t1\tno_BC\t151319\t395859\t9.92699744895787\t9.72217308865842\t1.2629236568282\t0.33676743\t71914\n",
            "HepG2\t1\toligo_002500\t23\t41\t13.5636240116246\t9.05169977675417\t0.860569715142429\t-0.21663602\t8\n",
            "HepG2\t1\toligo_002501:oligo_002502\t12\t26\t8.0876267398507\t6.56011691137585\t1.04597701149425\t0.06485114\t7\n",
            "HepG2\t1\toligo_002503\t14\t24\t9.43556452982582\t6.05549253357771\t0.827586206896552\t-0.27301849\t7\n",
            "HepG2\t1\toligo_002504\t1\t2\t4.71778226491291\t3.532370644587\t0.96551724137931\t-0.05062607\t1\n",
            "HepG2\t1\toligo_002505\t24\t41\t14.1533467947387\t9.05169977675417\t0.824712643678161\t-0.27803657\t8\n",
            "HepG2\t1\toligo_002506\t7\t15\t8.25611896359759\t6.62319495860062\t1.03448275862069\t0.0489096\t4\n",
            "HepG2\t1\toligo_002507\t11\t20\t8.64926748567367\t5.88728440764499\t0.877742946708464\t-0.1881296\t6\n",
            "HepG2\t1\toligo_002508\t11\t29\t10.3791209828084\t10.2438748693023\t1.27272727272727\t0.3479233\t5\n"
          ]
        }
      ],
      "source": [
        " !zcat {results_dir}/experimentMPRAworkshop/assigned_counts/MPRAworkshop/tutorialConfig/HepG2_allreps_merged.tsv.gz | awk 'NR <= 10 {{print}}'"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "### QC report\n",
        "\n",
        "We have a QC report for the assigment as well for the experiment workflow. For our run you can find it here:\n",
        "\n",
        "- [MPRAsnakeflow_tutorial/results/experiments/experimentMPRAworkshop/qc_report.HepG2.MPRAworkshop.default.html](MPRAsnakeflow_tutorial/results/experiments/experimentMPRAworkshop/qc_report.HepG2.MPRAworkshop.default.html) - 10 BC threshold\n",
        "\n",
        "- [MPRAsnakeflow_tutorial/results/experiments/experimentMPRAworkshop/qc_report.HepG2.MPRAworkshop.tutorialConfig.html](MPRAsnakeflow_tutorial/results/experiments/experimentMPRAworkshop/qc_report.HepG2.MPRAworkshop.tutorialConfig.html) - 5 BC threshold\n",
        "\n",
        "\n",
        "The QC report gives a nice overview of the experiment run and might be the first thing you will look on. Because we have two configurations you can compare both."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 22,
      "metadata": {},
      "outputs": [
        {
          "data": {
            "text/html": [
              "\n",
              "        <iframe\n",
              "            width=\"700\"\n",
              "            height=\"600\"\n",
              "            src=\"./MPRAsnakeflow_tutorial/results/experiments/experimentMPRAworkshop/qc_report.HepG2.MPRAworkshop.tutorialConfig.html\"\n",
              "            frameborder=\"0\"\n",
              "            allowfullscreen\n",
              "            \n",
              "        ></iframe>\n",
              "        "
            ],
            "text/plain": [
              "<IPython.lib.display.IFrame at 0x7f21e049c8f0>"
            ]
          },
          "execution_count": 22,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "from IPython.display import IFrame\n",
        "\n",
        "IFrame(src='./MPRAsnakeflow_tutorial/results/experiments/experimentMPRAworkshop/qc_report.HepG2.MPRAworkshop.default.html', width=700, height=600)\n",
        "\n",
        "IFrame(src='./MPRAsnakeflow_tutorial/results/experiments/experimentMPRAworkshop/qc_report.HepG2.MPRAworkshop.tutorialConfig.html', width=700, height=600)"
      ]
    }
  ],
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    "colab": {
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    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
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    "language_info": {
      "codemirror_mode": {
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