Mesoscale Activity Project Pipeline - map-ephys
Visit here for full documentation of this project
A website dedicated for data browsing and results visualization for MAP project can be accessed at https://navigator.mesoscale-activity-map.org/
A MAP-dedicated Jupyter Hub can be accessed at https://jupyter.mesoscale-activity-map.org/
Users can sign in using their GitHub account. Please contact support@datajoint.com for database credential if you don't already have one.
Once signed in, the foler /work is dedicated for each user to freely experiment with the pipeline.
Guidelines, tutorial materials, example notebooks can be found under /workshop or /map-ephys/notebook
Direct installation without a source checkout can be done directly via pip:
$ pip install git+https://github.com/mesoscale-activity-map/map-ephys/
Regular users who will be using the code for querying/analysis should
checkout the source code from git and install the package using pythons's pip
command. For example:
$ git clone https://github.com/mesoscale-activity-map/map-ephys.git
$ cd map-ephys
$ pip install -e .
This will make the MAP pipeline modules available to your python interpreter as 'pipeline'.
For more details on system setup and administration, visit here