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Project
Download File
Open Modeling and Exchange (OMEX)
iYS854.xml
Systems Biology Markup Language (SBML)
LICENSE
TEXT
metadata.rdf
OMEX Metadata
PMC6326480-pcbi.1006644.g001.jpg
Joint Photographic Experts Group (JPEG)
PMC6326480-pcbi.1006644.g002.jpg
PMC6326480-pcbi.1006644.g003.jpg
PMC6326480-pcbi.1006644.g004.jpg
PMC6326480-pcbi.1006644.g005.jpg
simulation.sedml
Simulation Experiment Description Markup Language (SED-ML)
Outputs
JavaScript Object Notation (JSON) in BioSimulators simulator schema
Zip of HDF5 and PDF files
Log
JavaScript Object Notation (JSON) in BioSimulators log schema
bigg.model:iYS854
Yara Seif, Jonathan M. Monk, Nathan Mih, Hannah Tsunemoto, Saugat Poudel, Cristal Zuniga, Jared Broddrick, Karsten Zengler & Bernhard O. Palsson. A computational knowledge-base elucidates the response of Staphylococcus aureus to different media types. PLOS Computational Biology 15, 1: e1006644 (2019).
BiGG
Steady state
flux balance analysis
SBML
SED-ML
COMBINE/OMEX
COBRApy 0.24.0
621d90b9b50991044c7a1ea6
metabolic process
Staphylococcus aureus subsp. aureus USA300_TCH1516, complete sequence
Staphylococcus aureus subsp. aureus USA300_TCH1516
Systems Biology Research Group at the University of California, San Diego
Jonathan R. Karr
View project essentials in the liteweight Reproducibility Portal.