GEMtractor: Extracting views into genome-scale metabolic models

Martin Scharm*, Olaf Wolkenhauer, Mahdi Jalili, Ali Salehzadeh-Yazdi

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

Computational metabolic models typically encode for graphs of species, reactions and enzymes. Comparing genome-scale models through topological analysis of multipartite graphs is challenging. However, in many practical cases it is not necessary to compare the full networks. The GEMtractor is a web-based tool to trim models encoded in SBML. It can be used to extract subnetworks, for example focusing on reaction-and enzyme-centric views into the model.

Original languageEnglish
Pages (from-to)3281-3282
Number of pages2
JournalBioinformatics
Volume36
Issue number10
DOIs
StatePublished - 1 May 2020
Externally publishedYes

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