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CoBAMP: a Python framework for metabolic pathway analysis in constraint-based models

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SUMMARY CoBAMP is a modular framework for the enumeration of pathway analysis concepts, such as elementary flux modes (EFM) and minimal cut sets in genome-scale constraint-based models of metabolism. It… Click to show full abstract

SUMMARY CoBAMP is a modular framework for the enumeration of pathway analysis concepts, such as elementary flux modes (EFM) and minimal cut sets in genome-scale constraint-based models of metabolism. It currently includes the K-shortest EFM algorithm and facilitates integration with other frameworks involving reading, manipulation and analysis of constraint-based models. AVAILABILITY The software is implemented in Python 3, supported on most operating systems and requires a mixed-integer linear programming optimizer supported by the optlang framework. Source-code is available at https://github.com/BioSystemsUM/cobamp.

Keywords: framework; based models; constraint based; pathway analysis

Journal Title: Bioinformatics
Year Published: 2019

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