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This article presents a broad overview of techniques, both analytical and technological, that are used in systems biology to analyze large-scale data sets. While focusing on the computational aspects, the associated biology of cell regulation is also discussed. Discussions are centered around two widely used high-throughput technologies, namely, DNA microarrays and MS-based proteomics. The biological principles behind these techniques are presented. Typical steps involved in generation of high-throughput data to final biological interpretations of analyzed results are discussed. Various attempts to derive systems-level biological networks utilizing microarray and proteomics data are also presented.
Date of Publication: Dec. 2010