GOtcha: a new method for prediction of protein function assessed by the annotation of seven genomes

doi:10.1186/1471-2105-5-178

BMC Bioinformatics
Volume 5

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Methodology article

GOtcha: a new method for prediction of protein function assessed by the annotation of seven genomes

David MA Martin¹ , Matthew Berriman² and Geoffrey J Barton¹

¹Post-Genomics and Molecular Interactions Centre, School of Life Sciences, University of Dundee, Dow Street, Dundee DD1 5EH, UK

²The Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambs CB10 1SA, UK

author email corresponding author email

BMC Bioinformatics 2004, 5:178doi:10.1186/1471-2105-5-178


Published:	18 November 2004

Additional files

Additional File 1:

The supplementary data contains representative examples from the manual assessment of false positives. It is portrayed in tabular format and indicates the benchmark annotation, the highest scoring predicted incorrect annotation by GOtcha and the lowest scoring predicted annotation by GOtcha.

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