GOnet: a tool for interactive Gene Ontology analysis.

Journal: BMC bioinformatics
Published Date: Dec 7, 2018

Abstract

BACKGROUND: Biological interpretation of gene/protein lists resulting from -omics experiments can be a complex task. A common approach consists of reviewing Gene Ontology (GO) annotations for entries in such lists and searching for enrichment patterns. Unfortunately, there is a gap between machine-readable output of GO software and its human-interpretable form. This gap can be bridged by allowing users to simultaneously visualize and interact with term-term and gene-term relationships.

Authors

  • Mikhail Pomaznoy
    Department of Vaccine Discovery, La Jolla Institute for Allergy and Immunology, La Jolla, CA, USA. mikhail@lji.org.
  • Brendan Ha
    Department of Vaccine Discovery, La Jolla Institute for Allergy and Immunology, La Jolla, CA, USA.
  • Bjoern Peters
    La Jolla Institute for Allergy and Immunology, La Jolla, California, United States of America.

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