Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/15667
Title: Recommendations for utilizing and reporting population genetic analyses: the reproducibility of genetic clustering using the program STRUCTURE
Contributor(s): Gilbert, Kimberly J (author); Andrew, Rose  (author)orcid ; Vines, Timothy H (author); Bock, Dan G (author); Franklin, Michelle T (author); Kane, Nolan C (author); Moore, Jean-Sebastien (author); Moyers, Brook T (author); Renaut, Sebastien (author); Rennison, Diana J (author); Veen, Thor (author)
Publication Date: 2012
DOI: 10.1111/j.1365-294X.2012.05754.x
Handle Link: https://hdl.handle.net/1959.11/15667
Abstract: Reproducibility is the benchmark for results and conclusions drawn from scientific studies, but systematic studies on the reproducibility of scientific results are surprisingly rare. Moreover, many modern statistical methods make use of 'random walk' model fitting procedures, and these are inherently stochastic in their output. Does the combination of these statistical procedures and current standards of data archiving and method reporting permit the reproduction of the authors' results? To test this, we reanalysed data sets gathered from papers using the software package STRUCTURE to identify genetically similar clusters of individuals. We find that reproducing STRUCTURE results can be difficult despite the straightforward requirements of the program. Our results indicate that 30% of analyses were unable to reproduce the same number of population clusters. To improve this, we make recommendations for future use of the software and for reporting STRUCTURE analyses and results in published works.
Publication Type: Journal Article
Source of Publication: Molecular Ecology, 21(20), p. 4925-4930
Publisher: Blackwell Publishing Ltd
Place of Publication: United Kingdom
ISSN: 0962-1083
1365-294X
Field of Research (FOR): 060504 Microbial Ecology
060301 Animal Systematics and Taxonomy
Socio-Economic Outcome Codes: 960805 Flora, Fauna and Biodiversity at Regional or Larger Scales
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
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