GOMCL: a toolkit to cluster, evaluate, and extract non-redundant associations of Gene Ontology-based functions.

Journal: BMC bioinformatics
Published Date:

Abstract

BACKGROUND: Functional enrichment of genes and pathways based on Gene Ontology (GO) has been widely used to describe the results of various -omics analyses. GO terms statistically overrepresented within a set of a large number of genes are typically used to describe the main functional attributes of the gene set. However, these lists of overrepresented GO terms are often too large and contains redundant overlapping GO terms hindering informative functional interpretations.

Authors

  • Guannan Wang
    Department of Biological Sciences, Louisiana State University, Baton Rouge, LA, USA.
  • Dong-Ha Oh
    Department of Biological Sciences, Louisiana State University, Baton Rouge, LA, USA.
  • Maheshi Dassanayake
    Department of Biological Sciences, Louisiana State University, Baton Rouge, LA, USA. maheshid@lsu.edu.