期刊
BRIEFINGS IN BIOINFORMATICS
卷 7, 期 4, 页码 318-330出版社
OXFORD UNIV PRESS
DOI: 10.1093/bib/bbl036
关键词
bioinformatics; systems biology; database and knowledgebase; dynamic modelling; networks and modules; data integration
In systems biology, biologically relevant quantitative modelling of physiological processes requires the integration of experimental data from diverse sources. Recent developments in high-throughput methodologies enable the analysis of the transcriptome, proteome, interactome, metabolome and phenome on a previously unprecedented scale, thus contributing to the deluge of experimental data held in numerous public databases. In this review, we describe some of the databases and simulation tools that are relevant to systems biology and discuss a number of key issues affecting data integration and the challenges these pose to systems-level research.
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