This is the 2016 course website. Please go to bioconnector.org/workshops/bims8382 for the latest course material, and update your bookmarks.

This class introduces methods, tools, and software for reproducibly managing, manipulating, analyzing, and visualizing large-scale biomedical data. Specifically, the course introduces the R statistical computing environment and packages for manipulating and visualizing high-dimensional data, covers strategies for reproducible research, and culminates with analysis of data from a real RNA-seq experiment using R and Bioconductor packages.

IMPORTANT: Click here for instructions on setting up your computer for the class. We’re going to dive right into hands-on live-coding the first day of class, and you’ll need to download and install some free software prior to our first class. This may take up to an hour or so, and please do not hesitate to email me prior to the course if you are having difficulty.

Attribution: Some of the course material and content layout here is modified in part from Jenny Bryan’s Stat 545 course, Software Carpentry, Data Carpentry, David Robinson’s blog, Marian Schmidt’s MSU NGS Workshop, and likely many others.

This work is licensed under the CC BY-NC 3.0 Creative Commons License.
For more information, visit bioconnector.virginia.edu.