A python package for metabolic pathway local enrichment analysis via random walks on metabolic reaction network.
pip install rawkThe tutorials of Rawk are in the docs/tutorials folder,
which contains the following tutorials:
construct_recon3d_mrn.md: Construct a metabolic reaction network from a genome scale metabolic model.example_mouse_data_analysis.md: Run Rawk standard analysis workflow on an example mouse dataset.example_human_data_analysis.md: Run Rawk standard analysis workflow on an example human dataset.
The API reference files of Rawk are in
docs/api_reference. The API reference files were
generated from the package docstrings. The docstrings can also be accessed
using help in python interpreter. For example, help(rawk.Rawk) shows the
documentation of the Rawk class.
If you encounter any error related to tkinter multi-threading, try rerunning
with parameters set to use only one CPU core.
This project is released under a Non-Commercial Research License. For commercial use, please contact licensing@chop.edu for licensing terms.