Mitigating Scoring Errors in Microsatellite Data from Wild Populations DeWoody, Jennifer Nason, John Nason, John Hipkins, Valerie
dc.contributor.department Ecology, Evolution and Organismal Biology 2018-05-21T10:44:25.000 2020-06-30T02:19:06Z 2020-06-30T02:19:06Z 2006-01-01
dc.description.abstract <p>Microsatellite data are widely used to test ecological and evolutionary hypotheses in wild populations. In this paper, we consider three typical sources of scoring errors capable of biasing biological conclusions: stuttering, large-allele dropout and null alleles. We describe methods to detect errors and propose conventions to mitigate scoring errors and report error rates in studies of wild populations. Finally, we discuss potential bias in ecological or evolutionary conclusions based on data sets containing these scoring errors.</p>
dc.description.comments <p>This article is from <em>Molecular Ecology Notes</em> 6 (2006): 951, doi:<a href="" target="_blank">10.1111/j.1471-8286.2006.01449.x</a>.</p>
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dc.identifier archive/
dc.identifier.articleid 1080
dc.identifier.contextkey 7723404
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath eeob_ag_pubs/80
dc.language.iso en
dc.source.bitstream archive/|||Sat Jan 15 02:04:38 UTC 2022
dc.source.uri 10.1111/j.1471-8286.2006.01449.x
dc.subject.disciplines Ecology and Evolutionary Biology
dc.subject.disciplines Genetics
dc.subject.disciplines Laboratory and Basic Science Research
dc.subject.keywords microsatellite
dc.subject.keywords population genetics
dc.subject.keywords scoring errors
dc.subject.keywords SSR
dc.title Mitigating Scoring Errors in Microsatellite Data from Wild Populations
dc.type article
dc.type.genre article
dspace.entity.type Publication
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