Resources for integrative systems biology: from data through databases to networks and dynamic system models
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...
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| Veröffentlicht in: | Briefings in bioinformatics 2006-12, Vol.7 (4), p.318-330 |
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| container_title | Briefings in bioinformatics |
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| creator | Ng, Aylwin Bursteinas, Borisas Gao, Qiong Mollison, Ewan Zvelebil, Marketa |
| description | 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. |
| doi_str_mv | 10.1093/bib/bbl036 |
| format | Article |
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| ispartof | Briefings in bioinformatics, 2006-12, Vol.7 (4), p.318-330 |
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| language | eng |
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| source | Oxford Journals Open Access Collection; MEDLINE; EZB-FREE-00999 freely available EZB journals; Business Source Complete |
| subjects | Animals Bioinformatics Biology Computer Simulation Data Collection - methods Data Collection - standards Databases, Genetic Gene Expression Genomics Humans Metabolic Networks and Pathways Models, Biological Models, Molecular Phenotype Proteomics Research methodology Software Systems Biology - methods |
| title | Resources for integrative systems biology: from data through databases to networks and dynamic system models |
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