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Journal Articles Bioinformatics Year : 2021

PAX2GRAPHML: a Python library for large-scale regulation network analysis using BIOPAX

Abstract

PAX2GRAPHML is an open source Python library that allows to easily manipulate BioPAX source files as regulated reaction graphs described in .graphml format. The concept of regulated reactions, which allows connecting regulatory, signaling and metabolic levels, has been used. Biochemical reactions and regulatory interactions are homogeneously described by regulated reactions involving substrates, products, activators and inhibitors as elements. PAX2GRAPHML is highly flexible and allows generating graphs of regulated reactions from a single BioPAX source or by combining and filtering BioPAX sources. Supported by the graph exchange format .graphml, the large-scale graphs produced from one or more data sources can be further analyzed with PAX2GRAPHML or standard Python and R graph libraries. Availability and implementation https://pax2graphml.genouest.org

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Dates and versions

hal-03265223 , version 1 (06-01-2022)

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François Moreews, Hugo Simon, Anne Siegel, Florence Gondret, Emmanuelle Becker. PAX2GRAPHML: a Python library for large-scale regulation network analysis using BIOPAX. Bioinformatics, 2021, 37 (24), pp.4889-4891. ⟨10.1093/bioinformatics/btab441⟩. ⟨hal-03265223⟩
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