Category Archives: howto

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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Posted in bioinformatics, howto, population genetics, R, software | Tagged , , , | 3 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

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

A transcriptomic approach for reduced representation in population genomics

                    Many population genomics studies use methods that provide a reduced representation of the genome, for example RADseq or UCEs. Targeting a subset of the genome reduces the cost of sequencing … 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

Posted in bioinformatics, genomics, howto, population genetics, R, software | Tagged , , | 2 Comments

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

LaTeX hacks to save your life (and your co-authors’)

In light of this recent study by Knauff and Nejasmic (2014) that makes a lot of presumptive leaps on the utility and effectiveness of in scientific writing, my case for the utility of for every equation, reference, table, figure, and … Continue reading

Posted in howto, science publishing | Tagged , , | 5 Comments

SpaceMix, and a brief history of Spatial Genetics

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

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A population genetic R-evolution

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 | 2 Comments

Linking gene expression and phenotype in an emerging model organism

Last week in his post “Transcriptomics in the wild (populations),” TME contributor Noah Snyder-Mackler focused on a recent paper by Alvarez et al. that reviews the last decade of transcriptomic research including the goal of linking gene expression and phenotype. Researchers today routinely collect transcriptomic data for non-model … Continue reading

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