| Literature DB >> 17040977 |
Aylwin Ng1, Borisas Bursteinas, Qiong Gao, Ewan Mollison, Marketa Zvelebil.
Abstract
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.Mesh:
Year: 2006 PMID: 17040977 DOI: 10.1093/bib/bbl036
Source DB: PubMed Journal: Brief Bioinform ISSN: 1467-5463 Impact factor: 11.622