2006
DOI: 10.1093/bib/bbl036
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Resources for integrative systems biology: from data through databases to networks and dynamic system models

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 … Show more

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Cited by 76 publications
(48 citation statements)
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“…The limit for this and other approaches is the enormous amount of data these techniques can generate. According to Costas Mitsoupoulos (London, United Kingdom), bioinformatics is the appropriate tool to convert information into knowledge, and this was illustrated by studies on cross-talk between intracellular signaling pathways (Ng et al, 2006). Signaling network analysis involves building models of pathways of interest, annotating protein/gene information, identifying mutually exclusive interactions, and mapping mutations onto binding interfaces.…”
Section: Selection Of Appropriate Biomarkers Of Peripheral Inflammationmentioning
confidence: 99%
“…The limit for this and other approaches is the enormous amount of data these techniques can generate. According to Costas Mitsoupoulos (London, United Kingdom), bioinformatics is the appropriate tool to convert information into knowledge, and this was illustrated by studies on cross-talk between intracellular signaling pathways (Ng et al, 2006). Signaling network analysis involves building models of pathways of interest, annotating protein/gene information, identifying mutually exclusive interactions, and mapping mutations onto binding interfaces.…”
Section: Selection Of Appropriate Biomarkers Of Peripheral Inflammationmentioning
confidence: 99%
“…An increasingly large amount of data are made publicly available through a variety of web-based databases (Ng et al 2006;Armit 2007). Some commonly used databases are listed in Table 1.…”
Section: Public Data Repositories and Bioinformatic Toolsmentioning
confidence: 99%
“…In particular, several specific metabolic reactions can be missing in the commonly used metabolic pathway databases, thus affecting automatic reconstruction solely based on genome information (Pitkä nen et al, 2010;Ruppin et al, 2010). To overcome this situation, metabolite profiles and prior biochemical knowledge about the organisms of interest can be used to refine this mapping (Ng et al, 2006). More specifically, transport reactions or intracellular localization of enzymes, which represent key processes for investigating phenotypical changes under environmental constraints, are often missing or are only partially considered in public databases.…”
Section: Building the Metabolic Network From Omics Datamentioning
confidence: 99%