Category Archives: software

What do with all those pesky mtDNA reads in your NGS experiment

Have you ever noticed how many reads from your high throughput sequencing project map to the tiny fraction of your genome that is the mitochondrial genome (mtDNA)? Pretty much any NGS experiment (e.g., RNA-seq, DNA-seq, capture-based sequencing) leave you with … Continue reading

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IMa2p – Parallel Isolation with Migration Analyses

I figured that it was time to write an update on my post from a year ago on Bayesian MCMC in inferring ancestral demography. Recently, my postdoctoral advisor, Jody Hey and I released a version of the popular IMa2 program, … Continue reading

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Mixed modeling of methylation measures (increase your power by 60%)

Do you want to increase your power to detect differentially methylated CpG sites by 60%*? Yes?! Then do I have the pre-print for you.

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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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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

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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