- Clean and organize the Hartwig Medical Foundation data request files into a single dataframe.
- See Hartwig Medical Foundation: https://www.hartwigmedicalfoundation.nl/en/
- For each file type, a pipeline computes and organizes features across all samples.
- Output from each pipeline are then joined by their sample ids.
- Data request: https://www.hartwigmedicalfoundation.nl/en/data/data-access-request/
- PURPLE, ISOFOX, and clinical data output.
- Run and tested on Hartwig data request files shared on August 9, 2022.
- Source directory locations need to be specified in mission_control/treasure_map.*.
- Jobs are submitted with the QMap tool from the bbglab: https://github.com/bbglab/qmap
- QMap tool calls two conda environments, stored in conda_env folder.
- From the root directory:
$ python run.py