A python library for large-scale regulation network analysis using BIOPAX and GRAPHML
PAX2GraphML is dedicated to design biological reaction graph analysis softwares.
The package PAX2GraphML allows to efficiently manipulate BioPAX data sources transformed as GRAPHML files.
It is expecially design around the SPAIM reaction model (Substrate, Product, Activator, Inhibitor, Modulator). Among other things, it allows to analyze the graphs, to extract sub-components and to build an influence graph. Input graphs are in .graphml format, assumed under the SPAIM model.
The package relies mainly on the python graph_tool module to extract, manipulate and save these graphs: https://graph-tool.skewed.de/static/doc/quickstart.html.
Java is as well necessary for some sub-modules, like for BIOPAX export features.
the full documentation is available at https://fjrmoreews.github.io/pax2graphml/
We provide a easy to use docker installation and a Debian/Ubuntu installation tutorial and a jupyter lab notebook with live examples.
The docker container provides the necessary environment to run the package (mainly, installation of python3 and graph_tool java and paxtools).
See https://gitlab.inria.fr/fmoreews/pax2graphml for full installation instructions.
The sources are available at https://gitlab.inria.fr/fmoreews/pax2graphml
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
|Filename, size||File type||Python version||Upload date||Hashes|
|Filename, size pax2graphml-1.1.3.tar.gz (21.8 MB)||File type Source||Python version None||Upload date||Hashes View|