Hamady Micah, Widmann Jeremy, Copley Shelley D, Knight Rob
Department of Computer Science, University of Colorado, Boulder, CO 80309, USA.
Genome Biol. 2008;9(8):R128. doi: 10.1186/gb-2008-9-8-r128. Epub 2008 Aug 15.
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.
MotifCluster可在一组序列中找到相关基序,并利用序列中所含基序将其聚类成家族。MotifCluster网站(http://bmf.colorado.edu/motifcluster)允许用户测试蛋白质是否相关,通过共享的保守基序对序列进行聚类,并可视化映射到树、序列和三维结构上的基序。我们使用金标准蛋白质超家族来证明MotifCluster的准确性;在推荐设置下,家族被正确分配到超家族,假阳性率为0.17%,且无假阴性分配。