BMC Bioinformatics

official impact factor 3.03

Open Access 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

Author Affiliations

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

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

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BMC Bioinformatics 2004, 5:178 doi: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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Open Data