GOtcha: a new method for prediction of protein function assessed by the annotation of seven genomes
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* Corresponding author: David MA Martin d.m.a.martin@dundee.ac.uk
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
BMC Bioinformatics 2004, 5:178 doi:10.1186/1471-2105-5-178
Published: 18 November 2004Additional 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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