Category Archives: R

marmap

Posted on 3 Jul, 2015 by Stacy Krueger-Hadfield

A couple years ago, Benoit Simon-Bouhet ended up sharing an office with Eric Pante, then a post-doc fellow in his former lab. The two quickly realized they were in a lab in which few people had the expertise or taste for coding. Thus, on … Continue reading →

Posted in community ecology, conservation, evolution, howto, natural history, R, software | Tagged , , , , | Leave a comment

IBE/IBD Contour plots in R

Posted on 18 Jun, 2015 by Arun Sethuraman

Rob’s post from yesterday motivated me to find an alternate way of visualizing correlations between matrices of geographical or ecological data, and genetic data. I have seen plenty of Mantel, or partial Mantel tests of correlation, as well as plots … Continue reading →

Posted in bioinformatics, howto, population genetics, R, software | Tagged , , , | 5 Comments

Procrustes Analyses in R

Posted on 23 Apr, 2015 by Arun Sethuraman

Procrustes transformations (i.e. a form of multidimensional scaling that allows the comparison of two data sets) have been used extensively in recent literature to assess the similarity of geographical and genetic distributions of species, following the lead of Wang et … Continue reading →

Posted in genomics, howto, population genetics, R, software | Tagged , , , | 3 Comments

Visualizing Linkage Disequilibrium in R

Posted on 9 Apr, 2015 by Arun Sethuraman

Patterns of Linkage Disequilibrium (LD) across a genome has multiple implications for a population’s ancestral demography. For instance, population bottlenecks predictably result in increased LD, LD between SNP’s in loci under natural selection affect each others rates of adaptive evolution, selfing/inbreeding populations … Continue reading →

Posted in bioinformatics, howto, population genetics, R | Tagged , , | 1 Comment

F-statistics Manhattan Plots in R

Posted on 26 Mar, 2015 by Arun Sethuraman

Characterizing differentiation across individual genomes sampled from different populations can be very informative of the demographic processes that resulted in the differentiation in the first place. Manhattan plots have grown to be very popular representations of genome-wide differentiation statistics in … Continue reading →

Posted in bioinformatics, genomics, howto, population genetics, R, software | Tagged , , | 4 Comments

Exploring color palettes in R

Posted on 12 Mar, 2015 by Arun Sethuraman

How often have you had to squint at figures with unpleasant color palettes in a manuscript online or in print, and ultimately given up on distinguishing between fifty (or maybe just around 30) shades of gray? I found the RColorBrewer … Continue reading →

Posted in howto, population genetics, R, software, STRUCTURE | Tagged , , | 8 Comments

The imitation game: simulating the genetics of large populations

Posted on 21 Jan, 2015 by Rob Denton

Computational simulations of genetic data are such a powerful and flexible tool for carrying out studies in molecular ecology. Do you want to know how much explanatory power your data provides? Simulate it! Predict the future response of species to … Continue reading →

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SpaceMix, and a brief history of Spatial Genetics

Posted on 15 Jan, 2015 by Arun Sethuraman

Incorporating spatial data to inform studies of the population demography of a species has a long history of interest. From inferring geographical clines in Principal Components Analyses (Menozzi et al. 1978), using location data as “informative priors” during model-based estimation … Continue reading →

Posted in bioinformatics, howto, population genetics, R, software | Tagged , , , | Leave a comment

A population genetic R-evolution

Posted on 14 Jan, 2015 by Stacy Krueger-Hadfield

Uphill, both ways, in the snow, without shoes … quite apt when thinking of the dark days, in the not too distant past, in which a separate input file was needed for each popgen analysis in order to use a … Continue reading →

Posted in howto, methods, population genetics, R, software, Uncategorized | 3 Comments

Migration Circos plots in R

Posted on 11 Dec, 2014 by Arun Sethuraman

We’ve all seen them – colorful, and I daresay, pretty darn informative. Circos plots are fun visualizations of large data-sets. I’ve seen them used in two contexts in comparative genomics – to represent structural variants in homologous chromosome segments in … Continue reading →

Posted in bioinformatics, genomics, howto, R, software | Tagged , | 11 Comments