Category Archives: software

marmap

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

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

IBE/IBD Contour plots in R

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

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

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Visualizing Linkage Disequilibrium in R

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

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Don’t trust your data: reviewing Bioinformatics Data Skills

There is little debate on the importance of bioinformatics for the present and future of science. As molecular ecologists, we are likely more aware of this than most disciplines due to the data explosion that has accompanied the wide application of … Continue reading

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F-statistics Manhattan Plots in R

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

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Exploring color palettes in R

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

Toying with eigenvectors

There are few things I enjoy more than when someone takes the time to clearly communicate a complex idea. The whole “you don’t know it until you teach it” phenomenon gives me the utmost respect for those who put effort into … Continue reading

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Show me the power

Describing the patterns of genetic structure and mating system variation in presents challenges from the outset of sample collection to data analysis (see this post and this post). At the beginning of February, I had the pleasure to collaborate with Sean … Continue reading

Posted in conservation, evolution, genomics, interview, methods, population genetics, software, Uncategorized | 1 Comment

Comparing runs and counting K

If you are someone who has any interaction with population genetics, the letter K may cause you a distinct feeling of uneasiness. Identifying the number of distinct genetic clusters (often represented as K) in a data set is a primary component in … Continue reading

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