title: Systematic deciphering of cancer genome networks.
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.
authors.affiliation: Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA. bfendler@cshl.edu
authors.forename: Bernard
authors.initials: B
authors.lastname: Fendler
authors.forename: Gurinder
authors.initials: G
authors.lastname: Atwal
mesh_terms: D019295:Computational Biology / Q000379:methods*; D004273:DNA, Neoplasm / Q000235:genetics; D015972:Gene Expression Regulation, Neoplastic; D053263:Gene Regulatory Networks; D052138:Genes, Neoplasm; D015894:Genome, Human; D023281:Genomics / Q000379:methods*; D006801:Humans; D008957:Models, Genetic; D009154:Mutation; D009369:Neoplasms / Q000235:genetics*; D020411:Oligonucleotide Array Sequence Analysis; D017422:Sequence Analysis, DNA
chemical_list: D004273:DNA, Neoplasm