Research article
Motif kernel generated by genetic programming improves remote homology and fold detection
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* Corresponding author: Pål Sætrom paal.saetrom@interagon.com
1 Department of Computer and Information Science, Norwegian University of Science and Technology, NO-7052, Trondheim, Norway
2 Interagon AS, Laboratoriesenteret, NO-7006 Trondheim, Norway
BMC Bioinformatics 2007, 8:23 doi:10.1186/1471-2105-8-23
Published: 25 January 2007Additional files
Additional file 1:
The SCOP 1.67 superfamily benchmark filtered by 95% sequence similarity. The file is a tab-delimited table. The first column gives SCOP sequence IDs; the first row identifies the positive test set for a particular benchmark instance; values (1, 2, 3, or 4) identify whether the sequence is in the positive test, negative test, positive training, or negative training sets.
Format: TXT Size: 841KB Download file
Additional file 2:
The SCOP 1.67 fold benchmark filtered by 95% sequence similarity. The file has the same format as Additional file 1.
Format: TXT Size: 683KB Download file
Additional file 3:
The SCOP 1.67 fold benchmark filtered by an E-value threshold of 10-25 The file has the same format as Additional file 1.
Format: TXT Size: 625KB Download file