期刊
DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION
卷 -, 期 -, 页码 -出版社
OXFORD UNIV PRESS
DOI: 10.1093/database/bau095
关键词
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资金
- National Institutes of Health Director's Pioneer Award [5DP1LM01150-05, 1P50GM107615]
- Allen Foundation Distinguished Investigator Award
- James S. McDonnell Postdoctoral Fellowship Award
- National Science Foundational Graduate Research Fellowship
- National Institutes of Health [5DP1LM01150-05]
Mechanistic 'whole-cell' models are needed to develop a complete understanding of cell physiology. However, extracting biological insights from whole-cell models requires running and analyzing large numbers of simulations. We developed WholeCellSimDB, a database for organizing whole-cell simulations. WholeCellSimDB was designed to enable researchers to search simulation metadata to identify simulations for further analysis, and quickly slice and aggregate simulation results data. In addition, WholeCellSimDB enables users to share simulations with the broader research community. The database uses a hybrid relational/hierarchical data format architecture to efficiently store and retrieve both simulation setup metadata and results data. WholeCellSimDB provides a graphical Web-based interface to search, browse, plot and export simulations; a JavaScript Object Notation (JSON) Web service to retrieve data for Web-based visualizations; a command-line interface to deposit simulations; and a Python API to retrieve data for advanced analysis. Overall, we believe WholeCellSimDB will help researchers use whole-cell models to advance basic biological science and bioengineering.
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