In the first half of this lecture we’ll discuss the open-source, cross-platform R/bioconductor software and environment that will be used throughout the course, then each student will set-up their own laptop to be a powerful, stand-alone bioinformatics workstation.
- Brief overview of the tools we’ll use throughout the course (R/Bioconductor, RStudio, etc.)
- Set-up your laptop with all the software needed for the course
I’ll walk you through installing the following software
R Programming Language - The only programming language we’ll work with in class.
RStudio - a development environment for the R programming language.
Sublime text editor - a simple but powerful text editor that is ‘code aware’
Visual Studio Code - an alternative to Sublime and an excellent choice for working with scripts outside of RStudio.
XCode developer tools - Only download if running on Mac OS on your laptop.
Cygwin - Only download if running a Windows OS on your laptop. Cygwin will give your system more linux-like capabilities