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MotifCluster: an interactive online tool for clustering and visualizing sequences using shared motifs.

Hamady M, Widmann J, Copley SD, Knight R.

Department of Computer Science, University of Colorado, Boulder, CO 80309, USA.

MotifCluster finds related motifs in a set of sequences, and clusters the sequences into families using the motifs they contain. MotifCluster, at http://bmf.colorado.edu/motifcluster, lets users test whether proteins are related, cluster sequences by shared conserved motifs, and visualize motifs mapped onto trees, sequences and three-dimensional structures. We demonstrate MotifCluster's accuracy using gold-standard protein superfamilies; using recommended settings, families were assigned to the correct superfamilies with 0.17% false positive and no false negative assignments.

Publication Types:
PMID: 18706079 [PubMed - in process]

PMCID: PMC2575518