Journal Article

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

Craig E. Jones, Julian Schwerdt, Tessa Arwen Bretag, Ute Baumann and Alfred L. Brown

in Bioinformatics

Volume 24, issue 22, pages 2628-2629
Published in print November 2008 | ISSN: 1367-4803
Published online September 2008 | e-ISSN: 1460-2059 | DOI: http://dx.doi.org/10.1093/bioinformatics/btn486
GOSLING: a rule-based protein annotator using BLAST and GO

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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@cs.adelaide.edu.au

Journal Article.  1573 words. 

Subjects: Bioinformatics and Computational Biology

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