Skip to main content

A python library for large-scale regulation network analysis using BIOPAX and GRAPHML

Project description

PAX2GraphML

Features

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.

Documentation

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/

Installation

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.

Source repository

The sources are available at https://gitlab.inria.fr/fmoreews/pax2graphml

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pax2graphml-1.1.3.tar.gz (21.8 MB view hashes)

Uploaded Source

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page