Network analysis of ChIP-Seq data reveals key genes in prostate cancer.

ABSTRACT:

Background

Prostate cancer (PC) is the second most common cancer among men in the United States, and it imposes a considerable threat to human health. A deep understanding of its underlying molecular mechanisms is the premise for developing effective targeted therapies. Recently, deep transcriptional sequencing has been used as an effective genomic assay to obtain insights into diseases and may be helpful in the study of PC.

Methods

In present study, ChIP-Seq data for PC and normal samples were compared, and differential peaks identified, based upon fold changes (with P-values calculated with t-tests). Annotations of these peaks were performed. Protein-protein interaction (PPI) network analysis was performed with BioGRID and constructed with Cytoscape, following which the hi

SUBMITTER: Zhang Y 

PROVIDER: S-EPMC4171560 | biostudies-literature | 2014 Sep

REPOSITORIES: biostudies-literature