Subscribe by email
Join 886 other subscribersMeta
Category Archives: howto
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
5 Comments
By popular request …
The original data set of Joshua tree presence locations, which I used as an example in my post about estimating species distribution models in R, is now available for download from Dryad. Thanks to my coauthors for agreeing to share … Continue reading
Posted in data archiving, howto, methods
Leave a comment
How to Backup and Store your Next-Generation Sequencing (NGS) data
Congratulations! You have recently received a file path to retrieve your hard-earned next-generation sequencing data. You quickly transfer the files to the computing cluster you work on or perhaps, if you only have a few lanes of data, to your … Continue reading
Posted in bioinformatics, data archiving, genomics, howto
1 Comment
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
Q&A: Julian Catchen helps us dig into STACKS – Part II
As promised, below is part II of our interview with Julian Catchen. These questions focus more on the specifics of using stacks (i.e., user-related questions). Please see the first post if you are interested a general overview. Even more information, … Continue reading
Q&A: Julian Catchen helps us dig into STACKS
Julian Catchen is a post-doctoral researcher at the University of Oregon, where he uses computational solutions to facilitate the analysis of next-generation sequencing data. Prior to obtaining his PhD, Julian worked for both Intel and IBM, experiences that no doubt … Continue reading