2022
DOI: 10.1007/s10592-021-01425-3
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Range-wide genomic scans and tests for selection identify non-neutral spatial patterns of genetic variation in a non-model amphibian species (Pelobates cultripes)

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Cited by 3 publications
(4 citation statements)
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“…First, as others have done (Bryc et al, 2010; Decker et al, 2014; Marques et al, 2022), principal components analysis (PCA) and Gaussian finite mixture modelling methods were used as an independent means of exploring the broad phylogenomic relationship between individuals, independent of models of sequence evolution. For the PCA, but not other analyses, the filtered variant calling file was first pruned using plink v1.9 (Purcell et al, 2007), then linkage‐pruned sites were used to generate eigenvalues and vectors.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…First, as others have done (Bryc et al, 2010; Decker et al, 2014; Marques et al, 2022), principal components analysis (PCA) and Gaussian finite mixture modelling methods were used as an independent means of exploring the broad phylogenomic relationship between individuals, independent of models of sequence evolution. For the PCA, but not other analyses, the filtered variant calling file was first pruned using plink v1.9 (Purcell et al, 2007), then linkage‐pruned sites were used to generate eigenvalues and vectors.…”
Section: Methodsmentioning
confidence: 99%
“…First, as others have done (Bryc et al, 2010;Decker et al, 2014;Marques et al, 2022), principal components analysis (PCA) and Gaussian finite mixture modelling methods were used as an independent means of exploring the broad phylogenomic relationship between individuals, independent of models of sequence evolution.…”
Section: Analyses Of Genomic Variationmentioning
confidence: 99%
“…Recent studies have detailed approaches for multiple testing correction (Austin et al, 2022;Flores-Manzanero et al, 2022;Marques et al, 2022). Correction procedures are straightforward to apply, and are often included with statistical analysis packages such as p.adjust command in R (https:// www.…”
Section: Correcting For Multiple Testingmentioning
confidence: 99%
“…Recent studies have detailed approaches for multiple testing correction (Austin et al., 2022; Flores‐Manzanero et al., 2022; Marques et al., 2022). Correction procedures are straightforward to apply, and are often included with statistical analysis packages such as p.adjust command in R (https://www.r-project.org/), FDRestimation package in R (Murray & Blume, 2020) and multipletests function in the Python statsmodels module (Seabold & Perktold, 2010).…”
Section: Introductionmentioning
confidence: 99%