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COBREXA.jl: constraint-based reconstruction and exascale analysis.
Kratochvíl, Miroslav; Heirendt, Laurent; Wilken, St Elmo; Pusa, Taneli; Arreckx, Sylvain; Noronha, Alberto; van Aalst, Marvin; Satagopam, Venkata P; Ebenhöh, Oliver; Schneider, Reinhard; Trefois, Christophe; Gu, Wei.
Afiliação
  • Kratochvíl M; Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Campus Belval, L-4367 Belvaux, Luxembourg.
  • Heirendt L; Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Campus Belval, L-4367 Belvaux, Luxembourg.
  • Wilken SE; ELIXIR Luxembourg, Campus Belval, L-4367 Belvaux, Luxembourg.
  • Pusa T; Institute of Quantitative and Theoretical Biology, Heinrich-Heine-Universität Düsseldorf, 40225 Düsseldorf, Germany.
  • Arreckx S; Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Campus Belval, L-4367 Belvaux, Luxembourg.
  • Noronha A; Nium S.à.r.l., L-4362 Esch-sur-Alzette, Luxembourg.
  • van Aalst M; Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Campus Belval, L-4367 Belvaux, Luxembourg.
  • Satagopam VP; Nium S.à.r.l., L-4362 Esch-sur-Alzette, Luxembourg.
  • Ebenhöh O; Institute of Quantitative and Theoretical Biology, Heinrich-Heine-Universität Düsseldorf, 40225 Düsseldorf, Germany.
  • Schneider R; Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Campus Belval, L-4367 Belvaux, Luxembourg.
  • Trefois C; ELIXIR Luxembourg, Campus Belval, L-4367 Belvaux, Luxembourg.
  • Gu W; Institute of Quantitative and Theoretical Biology, Heinrich-Heine-Universität Düsseldorf, 40225 Düsseldorf, Germany.
Bioinformatics ; 38(4): 1171-1172, 2022 01 27.
Article em En | MEDLINE | ID: mdl-34791064
ABSTRACT

SUMMARY:

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. AVAILABILITY AND IMPLEMENTATION https//doi.org/10.17881/ZKCR-BT30. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Metodologias Computacionais Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Metodologias Computacionais Idioma: En Ano de publicação: 2022 Tipo de documento: Article