Data integration and analysis of biological networks

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During the past decade, bottom-up and top-down approaches of network reconstruction have greatly facilitated integration and analysis of biological networks, including transcriptional, protein interaction, and metabolic networks. As increasing amounts of multidimensional high-throughput data become available, biological networks have also been upgraded, allowing more accurate understanding of whole cellular characteristics. The network size is constantly expanding as larger volume of information and omics data are further integrated into the biological networks previously built upon a single type of data. Such effort more recently led to the modeling of human metabolic network and prediction of its tissue-specific metabolism, reconstruction of consensus yeast metabolic network, and simulation of mutual interactions among multiple microorganisms. It is expected that this trend will continue, the outcomes of which will allow development of more sophisticated networks integrating diverse omics data, and enhance our understanding of biological systems
Publisher
CURRENT BIOLOGY LTD
Issue Date
2010-02
Language
English
Article Type
Review
Citation

CURRENT OPINION IN BIOTECHNOLOGY, v.21, no.1, pp.78 - 84

ISSN
0958-1669
DOI
10.1016/j.copbio.2010.01.003
URI
http://hdl.handle.net/10203/19834
Appears in Collection
CBE-Journal Papers(저널논문)
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