bel-enrichment 0.0.1

A package for generating curation sheets for rationally enriching a BEL graph using INDRA and PyBEL.

A package for generating curation sheets for rationally enriching a BEL graph using INDRA [1] and PyBEL [2].

Installation

bel_enrichment can be installed from directly GitHub with the following command:

$ pip install git+https://github.com/cthoyt/bel-enrichment.git

Usage

Generate a folder full of curation sheets based on the given BEL graph that has been pre-compiled by PyBEL. Use --info-cutoff to specify the minimum information density cutoff. 1.0 means that the node has no edges, .5 means one edge, and so on. Use --belief-cutoff to specify the minimum belief score from INDRA for adding the statement to the sheet. Higher belief means the more chance a statement is already right.

$ bel-enrichment make_sheet zhang2011.bel --directory ~/Desktop/zhang-enrichment

Generate a ranking for genes based on the information content in a given BEL graph that has been pre-compiled by PyBEL.

$ bel-enrichment ranks zhang2011.bel

References

[1]

Gyori, B. M., et al. (2017). From word models to executable models of signaling networks using automated assembly. Molecular Systems Biology, 13(11), 954.

[2]

Hoyt, C. T., Konotopez, A., Ebeling, C., (2017). PyBEL: a computational framework for Biological Expression Language. Bioinformatics (Oxford, England), 34(4), 703–704.