An integrative multi-dimensional genetic and epigenetic strategy to identify aberrant genes and pathways in cancer.

ABSTRACT:

Background

Genomics has substantially changed our approach to cancer research. Gene expression profiling, for example, has been utilized to delineate subtypes of cancer, and facilitated derivation of predictive and prognostic signatures. The emergence of technologies for the high resolution and genome-wide description of genetic and epigenetic features has enabled the identification of a multitude of causal DNA events in tumors. This has afforded the potential for large scale integration of genome and transcriptome data generated from a variety of technology platforms to acquire a better understanding of cancer.

Results

Here we show how multi-dimensional genomics data analysis would enable the deciphering of mechanisms that disrupt regulatory/signaling cascades and downstrea

SUBMITTER: Chari R 

PROVIDER: S-EPMC2880289 | biostudies-literature | 2010 May

REPOSITORIES: biostudies-literature