Data Formats for Systems Biology and Quantitative Modeling

Abstract:

Data standards support the reliable exchange of information, the interoperability of tools, and the reproducibility of scientific results. In systems biology standards are agreed ways of structuring, describing, and associating models and data, as well as their respective parts, graphical visualization, and information about applied experimental or computational methods. Such standards also assist with describing how constituent parts interact together, or are linked, and how they are embedded in their environmental and experimental context. Here the focus will be on standards for formatting models and their content, and on metadata checklists and ontologies that support modeling.

SEEK ID: https://fairdomhub.org/publications/573

DOI: 10.1016/B978-0-12-809633-8.20471-8

Projects: COMBINE Multicellular Modelling, COVID-19 Disease Map, FAIRDOM, LiSyM Core Infrastructure and Management (LiSyM-PD)

Publication type: InBook

Journal: Encyclopedia of Bioinformatics and Computational Biology

Book Title: Encyclopedia of Bioinformatics and Computational Biology

Publisher: Elsevier

Citation: Encyclopedia of Bioinformatics and Computational Biology,pp.884-893,Elsevier

Date Published: 2019

Registered Mode: by DOI

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Golebiewski, M. (2019). Data Formats for Systems Biology and Quantitative Modeling. In Encyclopedia of Bioinformatics and Computational Biology (pp. 884–893). Elsevier. http://doi.org/10.1016/b978-0-12-809633-8.20471-8
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Created: 30th Jul 2020 at 18:38

Last updated: 30th Jul 2020 at 18:40

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