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Category Archives: software
Random drift and phenotypic evolution
This week we have a guest post from Markku Karhunen. Markku’s research at the University of Helsinki included the development and implementation of a number of very interesting and useful population genetics methods. In his guest post Markku discusses these … Continue reading
Posted in adaptation, methods, population genetics, quantitative genetics, R, software, Uncategorized
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Scientific computing doesn't have to hurt
Amy Brown handles communication and scheduling for Software Carpentry. The post title alludes to the goals of Software Carpentry, a volunteer organization whose members teach basic software skills to researchers in science, engineering, and medicine. It’s a great organization, and … Continue reading
Analytical software management for your Mac? Homebrew to the rescue!
Source: http://www.popsci.com/diy/article/2007-08/ultimate-all-one-beer-brewing-machine Much of the big processing tasks in biological research remain the domain of clusters of computer nodes, whether local or an Amazon EC2 instance, running various flavors of Linux. It is perhaps safe to say that this fact will … Continue reading
Using R to run parallel analyses of population genetic data in STRUCTURE: ParallelStructure
In this guest post, Francois Besnier explains how to use ParallelStructure, his new R package for running STRUCTURE analyses in parallel computing environments. To start with, thanks to The Molecular Ecologist blog team (Tim and Jeremy) for the invitation to … Continue reading
Posted in howto, population genetics, R, software, STRUCTURE
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Why do we care about population structure?
Arun Sethuraman is a postdoctoral associate with Jody Hey, studying statistical models for divergence population genetics in the Department of Biology at Temple University. You can also find him on Twitter, and on his short story blog. After nearly six years of researching population genetic structure … Continue reading
Species distribution models in R
Update, 20 August 2013: Many readers have requested a copy of the Joshua tree data set used as an example in this post, and I’ve finally secured permission from the coauthors of the original study to post it to Dryad. … Continue reading