BMC Bioinformatics

official impact factor 3.03

Open Access Methodology article

A correlated motif approach for finding short linear motifs from protein interaction networks

Soon-Heng Tan1,4*, Willy Hugo1,2*, Wing-Kin Sung2,3 and See-Kiong Ng1

Author Affiliations

1 Knowledge Discovery Department, Institute for Infocomm Research, Singapore

2 Department of Computer Science, National University of Singapore, Singapore

3 Department of Information and Mathematical Science, Genome Institute of Singapore

4 Present address: Department of Medical Genetics and Microbiology, University of Toronto, Toronto, Canada

For all author emails, please log on.

BMC Bioinformatics 2006, 7:502 doi:10.1186/1471-2105-7-502

Published: 16 November 2006

Additional files

Additional file 1:

SupplementaryData-DetailsOnMotifExtractedOnTGF-Beta. The file contains detailed description on the motif instance set pair extracted by D-STAR and the corresponding known Phosphorylation motifs that is found enriched in one of the set.

Format: PDF Size: 141KB Download file

This file can be viewed with: Adobe Acrobat Reader

Open Data

Additional file 2:

Program. The file contains the binaries of the C implementation of D-STAR for Windows XP, Linux and Solaris OS. Also included in the zip file are the C2-BIND dataset as sample input and its sample output file.

Format: ZIP Size: 136KB Download file

Open Data