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Promoting coordinated development of community-based information standards for modeling in bology: the COMBINE initiative

COMBINE (Computational Modeling in Biology Network) is a consortium of groups involved in the development of open community standards and formats used in computational modeling in biology. COMBINE's aim is to act as a coordinator, facilitator, and resource for different standardization efforts...

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Bibliographische Detailangaben
Hauptverfasser: Hucka, Michael (VerfasserIn) , Bergmann, Frank T. (VerfasserIn) , Golebiewski, Martin (VerfasserIn)
Dokumenttyp: Article (Journal)
Sprache:Englisch
Veröffentlicht: 24 February 2015
In: Frontiers in Bioengineering and Biotechnology
Year: 2015, Jahrgang: 3
ISSN:2296-4185
DOI:10.3389/fbioe.2015.00019
Online-Zugang:Verlag, lizenzpflichtig, Volltext: https://doi.org/10.3389/fbioe.2015.00019
Verlag, lizenzpflichtig, Volltext: https://www.frontiersin.org/articles/10.3389/fbioe.2015.00019/full
Volltext
Verfasserangaben:Michael Hucka, David P. Nickerson, Gary D. Bader, Frank T. Bergmann, Jonathan Cooper, Emek Demir, Alan Garny, Martin Golebiewski, Chris J. Myers, Falk Schreiber, Dagmar Waltemath and Nicolas Le Novère
Beschreibung
Zusammenfassung:COMBINE (Computational Modeling in Biology Network) is a consortium of groups involved in the development of open community standards and formats used in computational modeling in biology. COMBINE's aim is to act as a coordinator, facilitator, and resource for different standardization efforts whose domains of use cover related areas of the computational biology space. In this perspective article, we summarize COMBINE, its general organization, and the community standards and other efforts involved in it. Our goals are to help guide readers toward standards that may be suitable for their research activities, as well as to direct interested readers to relevant communities where they can best expect to receive assistance in how to develop interoperable computational models.
Beschreibung:Gesehen am 02.06.2020
Beschreibung:Online Resource
ISSN:2296-4185
DOI:10.3389/fbioe.2015.00019

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