RGmatch: matching genomic regions to proximal genes in omics data integration.

ABSTRACT:

Background

The integrative analysis of multiple genomics data often requires that genome coordinates-based signals have to be associated with proximal genes. The relative location of a genomic region with respect to the gene (gene area) is important for functional data interpretation; hence algorithms that match regions to genes should be able to deliver insight into this information.

Results

In this work we review the tools that are publicly available for making region-to-gene associations. We also present a novel method, RGmatch, a flexible and easy-to-use Python tool that computes associations either at the gene, transcript, or exon level, applying a set of rules to annotate each region-gene association with the region location within the gene. RGmatch can be applied to a

SUBMITTER: Furio-Tari P 

PROVIDER: S-EPMC5133492 | biostudies-literature | 2016 Nov

REPOSITORIES: biostudies-literature