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Cancer Lett. 2013 Nov 1;340(2):277-83. doi: 10.1016/j.canlet.2012.11.033. Epub 2012 Nov 29.

Cancer omics: from regulatory networks to clinical outcomes.

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1
Department of Biomedical Informatics, The Ohio State University, Columbus, OH 43210, USA.

Abstract

Current limitation in cancer genomic studies is a lack of the integration of various omics data generated through next generation sequencing technologies, as well as a lack of the sounding and comprehensive epigenomic and genomic information about a particular cancer cell type. In this review, we will discuss main aspects of current genomics research with its application in cancer topics. We will first overview the next-generation sequencing technologies, then outline the major computational approaches, particularly focusing on ChIP-based omics data, and list several remaining open questions facing computational biologists, further present regulatory network analysis inferred from the ChIP-based omics data; finally implicate the clinical outcomes from the network and pathway analysis.

KEYWORDS:

Cancer omics; Clinical outcomes; Next generation sequencing; Regulatory networks

PMID:
23201140
DOI:
10.1016/j.canlet.2012.11.033
[Indexed for MEDLINE]
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