Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6921311 | Computers in Biology and Medicine | 2015 | 13 Pages |
Abstract
ClaPTE has competitive sensitivity and better type I error control than existing methods. In the Influenza/Oseltamavir case study, ClaPTE reports no new permissive mutations but detects associations between adjacent (in primary sequence) amino acid positions which other methods miss. In the DnaJ and GuaB case study, ClaPTE reports more frequent associations between positions both from the same protein family than between positions from different families, in contrast to other methods. In both case studies, the results from ClaPTE are biologically plausible.
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Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Samuel K Handelman, Jacob M. Aaronson, Michal Seweryn, Igor Voronkin, Jesse J. Kwiek, Wolfgang Sadee, Joseph S. Verducci, Daniel A. Janies,