Open AccessSemanticSBML – state of affairs
Author(s) -
Wolfram Liebermeister,
Falko Krause,
Marvin Schulz,
Timo Lubitz
Publication year - 2010
Publication title -
nature precedings
Language(s) - English
Resource type - Journals
ISSN - 1756-0357
DOI - 10.1038/npre.2010.4987.1
Subject(s) - state (computer science) , computer science , algorithm
A number of new functions in the software tool semanticSBML make extensive use of MIRIAM-compliant annotations in SBML models. Semantic model search allows to obtain, from BioModels Database, a ranked list of models resembling a given query model or data set. Model clustering allows for exploring and visualising similarities among large numbers of SBML models. Parameter balancing uses collected kinetic constants - retrieved by using semantic annotations - to infer consistent sets of model parameters
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