Identification of Local Clusters of Mutation Hotspots in Cancer-Related Genes and Their Biological Relevance

Volume: 16, Issue: 5, Pages: 1656 - 1662
Published: Sep 1, 2019
Abstract
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 identified 181 missense mutation...
Paper Details
Title
Identification of Local Clusters of Mutation Hotspots in Cancer-Related Genes and Their Biological Relevance
Published Date
Sep 1, 2019
Volume
16
Issue
5
Pages
1656 - 1662
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