2013
DOI: 10.1111/2041-210x.12067
|View full text |Cite
|
Sign up to set email alerts
|

diveRsity: An R package for the estimation and exploration of population genetics parameters and their associated errors

Abstract: Summary1. We present a new R package, diveRsity, for the calculation of various diversity statistics, including common diversity partitioning statistics (h, G ST ) and population differentiation statistics (D Jost , G 0 ST , v 2 test for population heterogeneity), among others. The package calculates these estimators along with their respective bootstrapped confidence intervals for loci, sample population pairwise and global levels. Various plotting tools are also provided for a visual evaluation of estimated … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
5

Citation Types

0
966
0
8

Year Published

2018
2018
2024
2024

Publication Types

Select...
9

Relationship

0
9

Authors

Journals

citations
Cited by 1,166 publications
(1,036 citation statements)
references
References 25 publications
0
966
0
8
Order By: Relevance
“…To allow for comparison with previous microsatellite results (Cunningham et al., 2009), GitalicST (Meirmans & Hedrick, 2011) was estimated using diveRsity (Keenan, McGinnity, Cross, Crozier, & Prodöhl, 2013) within R for both microsatellite and RAD data, and pairwise linearized genetic distance (GitalicST/(1‐GitalicST)) was plotted against shortest geographic distance along the continental shelf estimated from Google Earth.…”
Section: Methodsmentioning
confidence: 99%
“…To allow for comparison with previous microsatellite results (Cunningham et al., 2009), GitalicST (Meirmans & Hedrick, 2011) was estimated using diveRsity (Keenan, McGinnity, Cross, Crozier, & Prodöhl, 2013) within R for both microsatellite and RAD data, and pairwise linearized genetic distance (GitalicST/(1‐GitalicST)) was plotted against shortest geographic distance along the continental shelf estimated from Google Earth.…”
Section: Methodsmentioning
confidence: 99%
“…The population genomic diversity of populations was estimated according to the expected ( H E ) and observed heterozygosity ( H O ), using the PopGeneKit package (Paquete, 2012), and the estimated number of alleles ( A ), allelic richness ( A R ), and inbreeding coefficients ( F is ), using the R package diversity (Keenan, McGinnity, Cross, Crozier, & Prodohl, 2013). Both packages were written in R (R Development Core Team, 2016).…”
Section: Methodsmentioning
confidence: 99%
“…Both packages were written in R (R Development Core Team, 2016). Genetic differentiation was estimated through the overall and pairwise F ST values (Weir & Cockerham, 1984), using the R package diversity (Keenan et al., 2013). Population structure was inferred using the discriminant analysis of principal components (DAPC) (Jombart, Devillard, & Balloux, 2010), a multivariate analysis to evaluate the genetic population structure, using the R package adegenet (Jombart, 2008).…”
Section: Methodsmentioning
confidence: 99%
“…This analysis included SNPs sequenced in at least 80% of individuals in all cohorts within a colony and was carried out using diveRsity (Keenan, McGinnity, Cross, Crozier, & Prodohl, 2013) in R. A R was calculated with rarefaction to standardize to the sample size of the smallest cohort. We also compared these metrics of genomewide diversity among colonies (with cohorts combined) to assess changes in diversity along the axis of spatial expansion during this period of recovery.…”
Section: Methodsmentioning
confidence: 99%