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DRUIDS—Detection of regions with unexpected internal deviation from stationarity
Author(s) -
Fedrigo Olivier,
Adams Dean C.,
Naylor Gavin J.P.
Publication year - 2005
Publication title -
journal of experimental zoology part b: molecular and developmental evolution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.823
H-Index - 63
eISSN - 1552-5015
pISSN - 1552-5007
DOI - 10.1002/jez.b.21032
Subject(s) - phylogenetic tree , constraint (computer aided design) , substitution (logic) , sequence (biology) , sliding window protocol , computer science , standard deviation , r package , evolutionary biology , biology , data mining , mathematics , biological system , statistics , window (computing) , genetics , geometry , gene , programming language , operating system
Most methods for inferring phylogenies from sequence data assume that patterns of substitution have been stationary over time. Changes in evolutionary constraint can result in nonstationary substitution patterns that are phylogenetically misleading unless modeled appropriately. Here we present a multiple‐alignment‐based method to identify regions that are likely to contain misleading phylogenetic signals due to changes in evolutionary constraints. The method uses a moving window approach to identify regions with a statistically significant deviation from stationarity in the physicochemical properties of amino acids among taxa. The protocol has been implemented in the software package DRUIDS (Detecting Regions of Unexpected Internal Deviation from Stationarity), available from the first author upon request. J. Exp. Zool. 304:119–128, 2005. © 2005 Wiley‐Liss, Inc.