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Representing ontogeny through ontology: a developmental biologist's guide to the gene ontology.

Developmental biology, like many other areas of biology, has undergone a dramatic shift in the perspective from which developmental processes are viewed. Instead of focusing on the actions of a handful of genes or functional RNAs, we now consider the interactions of large functional gene networks and study how these complex systems orchestrate the unfolding of an organism, from gametes to adult. Developmental biologists are beginning to realize that understanding ontogeny on this scale requires the utilization of computational methods to capture, store and represent the knowledge we have about the underlying processes. Here we review the use of the Gene Ontology (GO) to study developmental biology. We describe the organization and structure of the GO and illustrate some of the ways we use it to capture the current understanding of many common developmental processes. We also discuss ways in which gene product annotations using the GO have been used to ask and answer developmental questions in a variety of model developmental systems. We provide suggestions as to how the GO might be used in more powerful ways to address questions about development. Our goal is to provide developmental biologists with enough background about the GO that they can begin to think about how they might use the ontology efficiently and in the most powerful ways possible.

Pubmed ID: 19921742

Authors

  • Hill DP
  • Berardini TZ
  • Howe DG
  • Van Auken KM

Journal

Molecular reproduction and development

Publication Data

April 1, 2010

Associated Grants

  • Agency: NHGRI NIH HHS, Id: P41 HG002223
  • Agency: NHGRI NIH HHS, Id: P41 HG002223-10
  • Agency: NHGRI NIH HHS, Id: P41 HG002273
  • Agency: NHGRI NIH HHS, Id: P41 HG002273-09
  • Agency: NHGRI NIH HHS, Id: P41 HG002659
  • Agency: NHGRI NIH HHS, Id: P41 HG002659-07
  • Agency: NHGRI NIH HHS, Id: P41-HG02223
  • Agency: NHGRI NIH HHS, Id: P41HG002659

Mesh Terms

  • Animals
  • Cell Differentiation
  • Computational Biology
  • Database Management Systems
  • Databases, Genetic
  • Developmental Biology
  • Morphogenesis
  • Software
  • Terminology as Topic
  • Vocabulary, Controlled