We report a novel computational method, RegNetDriver, to identify tumorigenic drivers using
the combined effects of coding and non-coding single nucleotide variants, structural …

Genome-wide association studies (GWAS) have achieved great success in identifying single
nucleotide polymorphisms (SNPs, herein called genetic variants) and genes associated with …

Prostate cancer (PC) is the most frequently diagnosed non-skin cancer in the world.
Previous studies have shown that genomic alterations represent the most common …

Background Tumor-specific genomic aberrations are routinely determined by high-
throughput genomic measurements. It remains unclear how complex genome alterations …

Background Recent advances in high-throughput genotyping have made possible
identification of genetic variants associated with increased risk of developing prostate …

Background Pathway analysis of large-scale omics data assists us with the examination of
the cumulative effects of multiple functionally related genes, which are difficult to detect …

Integrative analyses of epigenetic data promise a deeper understanding of the epigenome.
Epidaurus is a bioinformatics tool used to effectively reveal inter-dataset relevance and …

Abstract Background Prostate cancer (PrCa) is the most commonly diagnosed cancer in
men in the world. Despite the fact that a large number of its genes have been investigated …

Recent genome-wide association studies have identified independent susceptibility loci for
prostate cancer that could influence risk through interaction with other, possibly undetected …

Simple Summary There is a tremendous amount of gene expression information available
for prostate cancer, but very few tools exist to combine the disparate datasets generated …