Article
Identification of Local Clusters of Mutation Hotspots in Cancer-Related Genes and Their Biological Relevance.
IEEE/ACM transactions on computational biology and bioinformatics - 1 Jan 2000
Rhee Je-Keun, Yoo Jinseon, Kim Kyu Ryung, Kim Jeeyoon, Lee Yong-Jae, Chul Cho Byoung, Kim Tae-Min
Abstract excerpt
Mutation hotspots are either solitary amino acid residues or stretches of amino acids that show elevated mutation frequency in cancer-related genes, but their prevalence and biological relevance are not completely understood. Here, we developed a Smith-Waterman algorithm-based mutation hotspot discovery method, MutClustSW, to identify mutation hotspots of either single or clustered amino acid residues. We...
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