SBRML: a markup language for associating systems biology data with models
Author(s) -
Joseph O. Dada,
Irena Spasić,
Norman W. Paton,
Pedro Mendes
Publication year - 2010
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btq069
Subject(s) - markup language , computer science , sbml , xml , systems biology , search engine indexing , data mining , data type , file format , information retrieval , theoretical computer science , programming language , computational biology , world wide web , biology
Research in systems biology is carried out through a combination of experiments and models. Several data standards have been adopted for representing models (Systems Biology Markup Language) and various types of relevant experimental data (such as FuGE and those of the Proteomics Standards Initiative). However, until now, there has been no standard way to associate a model and its entities to the corresponding datasets, or vice versa. Such a standard would provide a means to represent computational simulation results as well as to frame experimental data in the context of a particular model. Target applications include model-driven data analysis, parameter estimation, and sharing and archiving model simulations.
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