GO Trimming: Systematically reducing redundancy in large Gene Ontology datasets.

ABSTRACT:

Background

The increased accessibility of gene expression tools has enabled a wide variety of experiments utilizing transcriptomic analyses. As these tools increase in prevalence, the need for improved standardization in processing and presentation of data increases, as does the need to guard against interpretation bias. Gene Ontology (GO) analysis is a powerful method of interpreting and summarizing biological functions. However, while there are many tools available to investigate GO enrichment, there remains a need for methods that directly remove redundant terms from enriched GO lists that often provide little, if any, additional information.

Findings

Here we present a simple yet novel method called GO Trimming that utilizes an algorithm designed to reduce redundancy in l

SUBMITTER: Jantzen SG 

PROVIDER: S-EPMC3160396 | biostudies-literature | 2011 Jul

REPOSITORIES: biostudies-literature