Data Formats for Systems Biology and Quantitative Modeling
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BiBTeXData 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://publications.h-its.org/publications/1070
DOI: 10.1016/B978-0-12-809633-8.20471-8
Research Groups: Scientific Databases and Visualisation
Publication type: Journal
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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Created: 18th Feb 2020 at 14:17
Last updated: 5th Mar 2024 at 21:24
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Research Groups: Scientific Databases and Visualisation
Institutions: Heidelberg Institute for Theoretical Studies
https://orcid.org/0000-0002-8683-7084
Research Groups: Scientific Databases and Visualisation, Astroinformatics, Data Mining and Uncertainty Quantification, Groups and Geometry, Natural Language Processing, Computational Molecular Evolution, Computational Carbon Chemistry, Physics of Stellar Objects, Playground, Molecular and Cellular Modeling, Stellar Evolution Theory, SIMPLAIX
Institutions: Heidelberg Institute for Theoretical Studies
Public web page: https://sdbv.h-its.org
