Data Carpentry Data Wrangling for Genomics

Data Carpentry's aim is to teach researchers basic concepts, skills, and tools for working with data so that they can get more done in less time, and with less pain. This is an introduction to the Genomics lessons.

Content Contributors: Tracy Teal, Jason Williams

*Lesson Maintainers: *

Lesson status: Teaching


  1. Project setup
  2. Quality control of NGS data
  3. Automating a workflow
  4. Variant calling - optional


Data Carpentry's teaching is hands-on, so participants are encouraged to use their own computers to insure the proper setup of tools for an efficient workflow. These lessons assume no prior knowledge of the skills or tools

Twitter: @datacarpentry