Systematic deciphering of cancer genome networks

Fendler, B., Atwal, G. (2012) Systematic deciphering of cancer genome networks. Yale Journal of Biology and Medicine, 85 (3). pp. 339-45. ISSN 1551-4056 (Electronic)0044-0086 (Linking)

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URL: http://www.ncbi.nlm.nih.gov/pubmed/23012582

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.

Item Type: Paper
Subjects: diseases & disorders > cancer
diseases & disorders
bioinformatics > genomics and proteomics > genetics & nucleic acid processing
bioinformatics > genomics and proteomics
bioinformatics > genomics and proteomics > genetics & nucleic acid processing > genomes
CSHL Authors:
Communities: CSHL Post Doctoral Fellows
CSHL labs > Atwal lab
CSHL Cancer Center Program > Cancer Genetics
Depositing User: Matt Covey
Date: 2012
Date Deposited: 31 Jan 2013 19:57
Last Modified: 14 Oct 2015 16:05
PMCID: PMC3447198
Related URLs:
URI: http://repository.cshl.edu/id/eprint/26940

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