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Dataset Information

Model annotation and discovery with the Physiome Model Repository.


ABSTRACT:

Background

Mathematics and Phy sics-based simulation models have the potential to help interpret and encapsulate biological phenomena in a computable and reproducible form. Similarly, comprehensive descriptions of such models help to ensure that such models are accessible, discoverable, and reusable. To this end, researchers have developed tools and standards to encode mathematical models of biological systems enabling reproducibility and reuse, tools and guidelines to facilitate semantic description of mathematical models, and repositories in which to archive, share, and discover models. Scientists can leverage these resources to investigate specific questions and hypotheses in a more efficient manner.

Results

We have comprehensively annotated a cohort of models with biolog

SUBMITTER: Sarwar DM 

PROVIDER: S-EPMC6731580 | biostudies-literature | 2019 Sep

REPOSITORIES: biostudies-literature