Annotation-based feature extraction from sets of SBML models
Annotation-based feature extraction from sets of SBML models
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Author / Creator
Publisher
England: BioMed Central
Journal title
Language
English
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Publication information
Publisher
England: BioMed Central
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Scope and Contents
Contents
Model repositories such as BioModels Database provide computational models of biological systems for the scientific community. These models contain rich semantic annotations that link model entities to concepts in well-established bio-ontologies such as Gene Ontology. Consequently, thematically similar models are likely to share similar annotations...
Alternative Titles
Full title
Annotation-based feature extraction from sets of SBML models
Authors, Artists and Contributors
Author / Creator
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Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4405863
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4405863
Other Identifiers
ISSN
2041-1480
E-ISSN
2041-1480
DOI
10.1186/s13326-015-0014-4