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standard-GEM: standardization of open-source genome-scale metabolic models

Authors :
Mihail Anton
Eivind Almaas
Rui Benfeitas
Sara Benito-Vaquerizo
Lars M. Blank
Andreas Dräger
John M. Hancock
Cheewin Kittikunapong
Matthias König
Feiran Li
Ulf W. Liebal
Hongzhong Lu
Hongwu Ma
Radhakrishnan Mahadevan
Adil Mardinoglu
Jens Nielsen
Juan Nogales
Marco Pagni
Jason A. Papin
Kiran Raosaheb Patil
Nathan D. Price
Jonathan L. Robinson
Benjamín J. Sánchez
Maria Suarez-Diez
Snorre Sulheim
L. Thomas Svensson
Bas Teusink
Wanwipa Vongsangnak
Hao Wang
Ahmad A. Zeidan
Eduard J. Kerkhoven
Publication Year :
2023
Publisher :
Cold Spring Harbor Laboratory, 2023.

Abstract

The field of metabolic modelling at the genomescale continues to grow with more models being created and curated. This comes with an increasing demand for adopting common principles regarding transparency and versioning, in addition to standardisation efforts regarding file formats, annotation and testing. Here, we present a standardised template for git-based and GitHub-hosted genome-scale metabolic models (GEMs) supporting both new models and curated ones, following FAIR principles (findability, accessibility, interoperability, and reusability), and incorporating bestpractices.standard-GEMfacilitates the reuse of GEMs across web services and platforms in the metabolic modelling field and enables automatic validation of GEMs. The use of this template for new models, and its adoption for existing ones, paves the way for increasing model quality, openness, and accessibility with minimal effort.Availabilitystandard-GEMis available fromgithub.com/MetabolicAtlas/standard-GEMunder the conditions of the CC BY 4.0 licence along with additional supporting material.

Details

Database :
OpenAIRE
Accession number :
edsair.doi...........8e77452cf0848a5f515f35c925440103
Full Text :
https://doi.org/10.1101/2023.03.21.512712