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Title:   Author  item
                                            KAMVAR, ZHIAN - Oregon State Universityitem
                                            TABIMA, JAVIER - Oregon State Universityitem
                                            Grunwald, Niklaus

                                                         - *Nik*
  Submitted to: PeerJ
                                    Publication Type: Peer Reviewed Journal
                                    Publication Acceptance Date: 2/2/2014
                                    Publication  Date: 2/2/2014
                                    Publication URL: http://dx.doi.org/10.7717/peerj.281Citation: Kamvar, Z.N., Tabima, J.F., Grunwald, N.J. 2014. Poppr: an R package for genetic analysis of populations with mixed (clonal/sexual) reproduction. PeerJ. 2:e281.Interpretive Summary: Analysis of genetic data for popualtions of organisms requires extensive statistical analysis tools. We developed the package 'poppr' for the open source R statistical computing language. 'Poppr' provides several novel tools, particularly with regard to analysis of data from populations that reproduce clonally as is often the case for microbes or protists. Data can be analyzed on a user-defined hierarchy including unlimited levels of subpopulation structure. Several new functions are introduced that  allow for convenient graphing. A pdf manual with extensive documentation and manuals is provided.
                                Technical Abstract: Poppr is an R package for analysis of population genetic data. It extends the adegenet package and provides several novel tools, particularly with regard to analysis of data from admixed, clonal, and/or sexual populations. Currently, poppr can be used for dominant/codominant and haploid/diploid genetic data. Data can be imported from several formats including GenAlEx. Data can be analyzed on a user-defined hierarchy including unlimited levels of subpopulation structure. New functions include calculation of Bruvo’s distance, batch analysis of the index of association with several indices of genotypic diversity, clone censoring, and graphing including dendrograms with bootstrap support and minimum spanning networks. A pdf manual with extensive documentation and manuals is provided.


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