Learn Biocomputing

General Resources

Software Carpentry
https://software-carpentry.org/lessons/

Code Academy
https://www.codecademy.com/

Learning R

The programming language R was originally designed for statistical analysis, but researchers now use it for a wide variety of data analysis and visualization tasks.
Download R here: https://www.r-project.org
Use the RStudio IDE to write and run R code. Download here: https://rstudio.com

Primers on RStudio Cloud
https://rstudio.cloud/learn/primers
These are short interactive lessons that let you write R code in your web browser. They use the "tidyverse" style of R coding, which we recommend for all new users. The first 4 lessons: "Basics", "Work with Data", "Visualize Data", and "Tidy your Data" give a strong foundation for writing R code to explore your data.

Git / GitHub

Interactive Git lesson
https://github.com/jlord/git-it-electron

Recommended Books

Practical Computing for Biologists by Steven Haddock and Casey Dunn
Buy on Amazon
This book provides an exceptionally clean and well written introduction for biologists to begin working with computational data. The beginning focus on regular expressions and working with text files will help anyone starting out with coding.

Bioinformatics Data Skills: Reproducible and Robust Research with Open Source Tools by Vince Buffalo
Buy on Amazon
This book is one of the few available "intermediate" level bioinformatic texts. Once you have mastered some basics in UNIX or Python/R programming, this books introduces more advanced concepts like workflow management and dealing with specific biological data.