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dc.contributor.authorThiltgen, Gen_US
dc.contributor.authorDos Reis, Men_US
dc.contributor.authorGoldstein, RAen_US
dc.date.accessioned2016-11-29T14:29:02Z
dc.date.accessioned2017-01-06T12:07:15Z
dc.date.available2016-11-09en_US
dc.date.issued2017-01en_US
dc.date.submitted2016-11-24T08:28:11.818Z
dc.date.submitted2016-12-23T00:30:17.477Z
dc.identifier.urihttp://qmro.qmul.ac.uk/xmlui/handle/123456789/18416
dc.description.abstractTests for positive selection have mostly been developed to look for diversifying selection where change away from the current amino acid is often favorable. However, in many cases we are interested in directional selection where there is a shift toward specific amino acids, resulting in increased fitness in the species. Recently, a few methods have been developed to detect and characterize directional selection on a molecular level. Using the results of evolutionary simulations as well as HIV drug resistance data as models of directional selection, we compare two such methods with each other, as well as against a standard method for detecting diversifying selection. We find that the method to detect diversifying selection also detects directional selection under certain conditions. One method developed for detecting directional selection is powerful and accurate for a wide range of conditions, while the other can generate an excessive number of false positives.en_US
dc.format.extent39 - 50en_US
dc.languageengen_US
dc.language.isoenen_US
dc.relation.ispartofJ Mol Evolen_US
dc.relation.replaceshttp://qmro.qmul.ac.uk/xmlui/handle/123456789/18000
dc.relation.replaces123456789/18000
dc.relation.replaces123456789/18197
dc.relation.replaceshttp://qmro.qmul.ac.uk/xmlui/handle/123456789/18197
dc.relation.replaceshttps://qmro.qmul.ac.uk/handle/123456789/18197
dc.relation.replaceshttps://qmro.qmul.ac.uk/xmlui/handle/123456789/18197
dc.rightsThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
dc.rightsCC-BY
dc.subjectDirectional selectionen_US
dc.subjectDiversifying selectionen_US
dc.subjectPositive selectionen_US
dc.subjectd N/d Sen_US
dc.subjectBiological Evolutionen_US
dc.subjectComputer Simulationen_US
dc.subjectDrug Resistance, Viralen_US
dc.subjectEvolution, Molecularen_US
dc.subjectGenetic Variationen_US
dc.subjectModels, Geneticen_US
dc.subjectPhylogenyen_US
dc.subjectSelection, Geneticen_US
dc.subjectSequence Analysis, Proteinen_US
dc.titleFinding Direction in the Search for Selection.en_US
dc.typeArticle
dc.rights.holder© The Author(s) 2016
dc.rights.holder© 2016 The Author(s)
dc.identifier.doi10.1007/s00239-016-9765-5en_US
pubs.author-urlhttps://www.ncbi.nlm.nih.gov/pubmed/27913840en_US
pubs.issue1en_US
pubs.merge-from123456789/18197
pubs.merge-fromhttps://qmro.qmul.ac.uk/xmlui/handle/123456789/18197
pubs.notesNot knownen_US
pubs.notesThe paper will be published open accessen_US
pubs.publication-statusPublisheden_US
pubs.volume84en_US
dcterms.dateAccepted2016-11-10en_US


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