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Open AccessMethodology article

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

David MA Martin1 email, Matthew Berriman2 email and Geoffrey J Barton1 email

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.

Format: PDF Size: 96KB Download file

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