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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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: | https://repository.cshl.edu/id/eprint/26940 |
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