KiSAO

KiSAO
Content
Description An ontology providing support in unambiguously referring to simulation algorithms when describing a simulation experiment.
Data types
captured
simulation algorithms, their characteristics and parameters
Contact
Research center EMBL-EBI
Primary citation PMID 22027554
Access
Standards MIRIAM
Data format OWL
Website KiSAO home page, KiSAO at BioPortal
Download URL KiSAO home page
Tools
Standalone libKiSAO, a java library to query KiSAO
Miscellaneous
License Artistic Licence
Version 2.3.5 (April 2014)
Curation policy yes (manual)
Bookmarkable
entities
yes

The Kinetic Simulation Algorithm Ontology (KiSAO) supplies information about existing algorithms available for the simulation of systems biology models, their characterization and interrelationships. KiSAO is part of the BioModels.net project and of the COMBINE initiative.[1]

Structure

KiSAO consists of three main branches:

The elements of each algorithm branch are linked to characteristic and parameter branches using has characteristic and has parameter relationships accordingly.The algorithm branch itself is hierarchically structured using subClassOf relationships, which denote that the descendant algorithms were derived from, or specify, more general ancestors.

See also

References

  1. Courtot, M.; Juty, N.; Knupfer, C.; Waltemath, D.; Zhukova, A.; Drager, A.; Dumontier, M.; Finney, A.; Golebiewski, M.; Hastings, J.; Hoops, S.; Keating, S.; Kell, D. B.; Kerrien, S.; Lawson, J.; Lister, A.; Lu, J.; Machne, R.; Mendes, P.; Pocock, M.; Rodriguez, N.; Villeger, A.; Wilkinson, D. J.; Wimalaratne, S.; Laibe, C.; Hucka, M.; Le Novere, N. (2014). "Controlled vocabularies and semantics in systems biology". Molecular Systems Biology. 7: 543. doi:10.1038/msb.2011.77. PMC 3261705Freely accessible. PMID 22027554.
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