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Category Archives: howto
On false positives in Isolation with Migration analyses
The IM suite of tools (IM, IMa, IMa2, IMa2p, etc.) are used widely by molecular ecologists at large for the analyses and estimation of ancestral demography under an Isolation with Migration (IM) model. However, these tools come with fundamental assumptions … Continue reading
Posted in evolution, genomics, howto, IMa2, methods, Molecular Ecology views, natural history, population genetics, software, theory
Tagged Evolution, gene flow, genomics, IM, isolation with migration, methods, migration, population genetics
1 Comment
PCA of multilocus genotypes in R
An earlier post from Mark Christie showed up on my feed on calculating allele frequencies from genotypic data in R, and I wanted to put together a quick tutorial on making PCA (Principal Components Analysis) plots using genotypes. I used … Continue reading
Posted in bioinformatics, genomics, howto, population genetics, R, software
Tagged data visualization, Homo sapiens, R
6 Comments
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
Posted in bioinformatics, genomics, howto, mutation, software, Uncategorized
Tagged mitochondria, mtDNA
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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
Posted in bioinformatics, genomics, howto, software, theory
Tagged Evolution, genomics, isolation, isolation with migration, migration, population genetics
1 Comment
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
Posted in community ecology, conservation, evolution, howto, natural history, R, software
Tagged coding, landscape genetics, marmap, molecular ecology, R
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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
Posted in bioinformatics, howto, population genetics, R, software
Tagged data visualization, landscape genetics, methods, population genetics
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
Posted in genomics, howto, population genetics, R, software
Tagged data visualization, genomics, population genetics, population structure
3 Comments
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 data visualization, genomics, population genetics
1 Comment
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 data visualization, genomics, Homo sapiens
4 Comments