The SOFG Anatomy Entry List (SAEL): An annotation tool for functional genomics data

Helen Parkinson, Stuart Aitken, Richard A. Baldock, J. B L Bard, Albert Burger, Terry F. Hayamizu, Alan Rector, Martin Ringwald, Jeremy Rogers, Cornelius Rosse, Christian J. Stoeckert, Duncan Davidson

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

A great deal of data in functional genomics studies needs to be annotated with low-resolution anatomical terms. For example, gene expression assays based on manually dissected samples (microarray, SAGE, etc.) need high-level anatomical terms to describe sample origin. First-pass annotation in high-throughput assays (e.g. large-scale in situ gene expression screens or phenotype screens) and bibliographic applications, such as selection of keywords, would also benefit from a minimum set of standard anatomical terms. Although only simple terms are required, the researcher faces serious practical problems of inconsistency and confusion, given the different aims and the range of complexity of existing anatomy ontologies. A Standards and Ontologies for Functional Genomics (SOFG) group therefore initiated discussions between several of the major anatomical ontologies for higher vertebrates. As we report here, one result of these discussions is a simple, accessible, controlled vocabulary of gross anatomical terms, the SOFG Anatomy Entry List (SAEL). The SAEL is available from http://www.sofg.org and is intended as a resource for biologists, curators, bioinformaticians and developers of software supporting functional genomics. It can be used directly for annotation in the contexts described above. Importantly, each term is linked to the corresponding term in each of the major anatomy ontologies. Where the simple list does not provide enough detail or sophistication, therefore, the researcher can use the SAEL to choose the appropriate ontology and move directly to the relevant term as an entry point. The SAEL links will also be used to support computational access to the respective ontologies. Copyright © 2004 John Wiley & Sons, Ltd.

Original languageEnglish
Pages (from-to)521-527
Number of pages7
JournalComparative and Functional Genomics
Volume5
Issue number6-7
DOIs
Publication statusPublished - Aug 2004

Keywords

  • Anatomy
  • Annotation
  • Bibliographic keywords
  • High-throughput
  • Microarray
  • Ontology
  • Phenotype description

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