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Yale J Biol Med. 2012 Sep;85(3):339-45. Epub 2012 Sep 25.

Systematic deciphering of cancer genome networks.

Author information

  • 1Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA. bfendler@cshl.edu

Abstract

When growth regulatory genes are damaged in a cell, it may become cancerous. Current technological advances in the last decade have allowed the characterization of the whole genome of these cells by directly or indirectly measuring DNA changes. Complementary analyses were developed to make sense of the massive amounts of data generated. A large majority of these analyses were developed to construct interaction networks between genes from, primarily, expression array data. We review the current technologies and analyses that have developed in the last decade. We further argue that as cancer genomics evolves from single gene validations to gene network inferences, new analyses must be developed for the different technological platforms.

KEYWORDS:

cancer; gene network; inference; microarrays; rna-seq

PMID:
23012582
[PubMed - indexed for MEDLINE]
PMCID:
PMC3447198
Free PMC Article

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