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Related Experiment Videos

GoFigure: automated Gene Ontology annotation.

Salim Khan1, Gang Situ, Keith Decker

  • 1Department of Computer and Information Sciences, University of Delaware, Newark, DE 19717, USA.

Bioinformatics (Oxford, England)
|December 12, 2003
PubMed
Summary

A new web tool predicts Gene Ontology (GO) terms for DNA or protein sequences. It uses BLAST to find similar sequences in GO databases, returning a graphical representation.

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Gene Ontology (GO) provides a standardized vocabulary for gene and protein functions.
  • Accurate GO term prediction is crucial for understanding biological pathways and functions.
  • Existing methods may require specialized computational expertise.

Purpose of the Study:

  • To develop a user-friendly web tool for predicting Gene Ontology (GO) terms.
  • To facilitate the annotation of DNA and protein sequences with functional information.
  • To provide researchers with an accessible resource for functional genomics analysis.

Main Methods:

  • The tool accepts DNA or protein sequences as input.
  • It employs the Basic Local Alignment Search Tool (BLAST) to search against GO-annotated databases.

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  • Homologous sequences are identified to infer potential GO terms.

    • Main Results:

    • A web-based tool has been successfully developed for GO term prediction.
    • The tool effectively identifies homologous sequences in GO databases.
    • A graphical representation of predicted GO terms is generated.

    Conclusions:

    • The developed web tool offers a straightforward method for predicting Gene Ontology terms.
    • This resource aids in the functional annotation of biological sequences.
    • The tool is freely available, promoting wider accessibility in biological research.