Ontology highlight
ABSTRACT:
SUBMITTER: Neal ML
PROVIDER: S-EPMC6499248 | biostudies-literature | 2019 May
REPOSITORIES: biostudies-literature
Bioinformatics (Oxford, England) 20190501 9
<h4>Summary</h4>As the number and complexity of biosimulation models grows, so do demands for tools that can help users understand models and compose more comprehensive and accurate systems from existing models. SemGen is a tool for semantics-based annotation and composition of biosimulation models designed to address this demand. A key SemGen capability is to decompose and then integrate models across existing model exchange formats including SBML and CellML. To support this capability, we use ...[more]