Reference : COBREXA.jl: constraint-based reconstruction and exascale analysis

	Document type :	Scientific journals : Article
	Discipline(s) :	Life sciences : Multidisciplinary, general & others
	Focus Areas :	Systems Biomedicine
	To cite this reference:	http://hdl.handle.net/10993/48687

Title :	COBREXA.jl: constraint-based reconstruction and exascale analysis
Language :	English
Author, co-author :	Kratochvil, Miroslav* [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > Bioinformatics Core]
	Heirendt, Laurent* [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > Bioinformatics Core]
	Wilken, St Elmo [> >]
	Pusa, Taneli [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > Bioinformatics Core]
	Arreckx, Sylvain [> >]
	Noronha, Alberto [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) >]
	van Aalst, Marvin [> >]
	Satagopam, Venkata [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > Bioinformatics Core]
	Ebenhöh, Oliver [> >]
	Schneider, Reinhard [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > Bioinformatics Core]
	Trefois, Christophe [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > Bioinformatics Core]
	Gu, Wei [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > Bioinformatics Core]
	* These authors have contributed equally to this work.
Publication date :	2021
Journal title :	Bioinformatics
Peer reviewed :	Yes (verified by ORBilu)
Audience :	National
ISSN :	1367-4803
e-ISSN :	1367-4803
Abstract :	[en] COBREXA.jl is a Julia package for scalable, high-performance constraint-based reconstruction and analysis of very large-scale biological models. Its primary purpose is to facilitate the integration of modern high performance computing environments with the processing and analysis of large-scale metabolic models of challenging complexity. We report the architecture of the package, and demonstrate how the design promotes analysis scalability on several use-cases with multi-organism community models.https://doi.org/10.17881/ZKCR-BT30.Supplementary data are available at Bioinformatics online.
Research centres :	Luxembourg Centre for Systems Biomedicine (LCSB): Bioinformatics Core (R. Schneider Group)
Funders :	European Commission - EC
Name of the research project :	PerMedCoE
Target :	Researchers ; Professionals ; Students
Permalink :	http://hdl.handle.net/10993/48687
DOI :	10.1093/bioinformatics/btab782
Other URL :	https://doi.org/10.1093/bioinformatics/btab782

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