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Bioinformatics Advance Access published online on September 16, 2008
Bioinformatics, doi:10.1093/bioinformatics/btn486
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© The Author (2008). Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org

GOSLING: a rule-based protein annotator using BLAST and GO

Craig E Jones 1,2,*, Julian Schwerdt 1,3, Tessa Arwen Bretag , Ute Baumann 1 and Alfred L Brown 2

1Australian Centre for Plant Functional Genomics, Waite Campus, University of Adelaide, South Australia, 5064.
2School of Computer Science, University of Adelaide, South Australia, 5001.
3South Australian Partnership for Advanced Computing, University of Adelaide, South Australia, 5001.

*To whom correspondence should be addressed. Craig Jones, E-mail: craig.jones{at}rocksoft.com


  Abstract

Summary: GOSLING is a web-based protein function annotator that uses a decision tree derived rule-set to quickly predict Gene Ontology terms for a protein. A score is assigned to each term prediction that is indicative of the accuracy of the prediction. Due to its speed and accuracy GOSLING is ideally suited for high-throughput annotation tasks.

Availability: https://www.sapac.edu.au/gosling.

Contact: craig{at}cs.adelaide.edu.au

Associate Editor: Prof. Dmitrij Frishman

Received on May 23, 2008; revised on September 1, 2008; accepted on September 10, 2008

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