FunSet: an open-source software and web server for performing and displaying Gene Ontology enrichment analysis.

Journal: BMC bioinformatics
Published Date:

Abstract

BACKGROUND: Gene Ontology enrichment analysis provides an effective way to extract meaningful information from complex biological datasets. By identifying terms that are significantly overrepresented in a gene set, researchers can uncover biological features shared by genes. In addition to extracting enriched terms, it is also important to visualize the results in a way that is conducive to biological interpretation.

Authors

  • Matthew L Hale
    School of Interdisciplinary Informatics, College of Information Science & Technology, University of Nebraska at Omaha, 1110 S 67TH, Omaha, 68182, NE, USA.
  • Ishwor Thapa
    School of Interdisciplinary Informatics, College of Information Science & Technology, University of Nebraska at Omaha, 1110 S 67TH, Omaha, 68182, NE, USA.
  • Dario Ghersi
    Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey, United States of America; School of Interdisciplinary Informatics, University of Nebraska at Omaha, Omaha, Nebraska, United States of America.