parallelnewhybrid: an R package for the parallelization of hybrid detection using newhybrids

摘要: Hybridization among populations and species is a central theme in many areas of biology, the study hybridization has direct applicability to testing hypotheses about evolution, speciation genetic recombination, as well having conservation, legal regulatory implications. Yet, despite being topic considerable interest, identification hybrid individuals, quantification (un)certainty surrounding identifications, remains difficult. Unlike other programs that exist identify hybrids based on genotypic information, newhybrids able assign individuals specific classes (e.g. F1 , F2 ) because it makes use patterns gene inheritance within each locus, rather than just proportions individual. For comparison set markers, multiple independent runs data should be used develop an estimate class assignment accuracy. The necessity analysing simulated sets, constructed from large genomewide presents significant computational challenges. To address these challenges, we present parallelnewhybrid, r package designed decrease user burden when undertaking analyses. parallelnewhybrid does so by taking advantage parallel capabilities inherent modern computers efficiently automatically execute separate parallel. We show parallelization analyses using this affords users several-fold reductions time over traditional serial analysis. consists example set, readme three operating system-specific functions computer's c cores. freely available long-term software hosting site github (www.github.com/bwringe/parallelnewhybrid).