Data Wrangling and Processing for Genomics

Institute for Modeling Collaboration and Innovation @ The University of Idaho


Feb 15-24, 2022

T/Th 2-5pm

Instructors: James Van Leuven, Clint Elg, Lukas Grossfurthner, Yesol Sapozhnikov

General Information

Data Carpentry develops and teaches workshops on the fundamental data skills needed to conduct research. Its target audience is researchers who have little to no prior computational experience, and its lessons are domain specific, building on learners' existing knowledge to enable them to quickly apply skills learned to their own research. Participants will be encouraged to help one another and to apply what they have learned to their own research problems.

For more information on what we teach and why, please see our paper "Good Enough Practices for Scientific Computing".

Who: The course is aimed at graduate students and other researchers. You don't need to have any previous knowledge of the tools that will be presented at the workshop.

Where: This training will take place online. The instructors will provide you with the information you will need to connect to this meeting.

When: Feb 15-24, 2022. Add to your Google Calendar.

Requirements: Participants must have access to a computer with a Mac, Linux, or Windows operating system (not a tablet, Chromebook, etc.) that they have administrative privileges on. They should have a few specific software packages installed (listed below).

Accessibility: We are dedicated to providing a positive and accessible learning environment for all. Please notify the instructors in advance of the workshop if you require any accommodations or if there is anything we can do to make this workshop more accessible to you.

Contact: Please email for more information.

Roles: To learn more about the roles at the workshop (who will be doing what), refer to our Workshop FAQ.

Code of Conduct

Everyone who participates in Carpentries activities is required to conform to the Code of Conduct. This document also outlines how to report an incident if needed.

Collaborative Notes

We will use this collaborative document for chatting, taking notes, and sharing URLs and bits of code.


Please be sure to complete these surveys before and after the workshop.

Pre-workshop Survey

Post-workshop Survey


Feb 15

Before starting Pre-workshop survey
14:00 Project Organization and Management
14:50 Break
15:00 Introduction to the Command Line
15:50 Break
16:00 Introduction to the Command Line continued
16:50 Wrap-up
17:00 END

Feb 17

14:00 Data Wrangling and Processing
14:50 Break
15:00 Data Wrangling and Processing continued
15:50 Break
16:00 Data Wrangling and Processing continued
16:50 Wrap-up
17:00 END

Feb 22

14:00 Data Wrangling and Processing continued
14:50 Break
15:00 Data Wrangling and Processing continued
15:50 Break
16:00 Data Wrangling and Processing continued
16:50 Wrap-up
17:00 END

Feb 24

14:00 Introduction to Cloud Computing for Genomics
14:50 Break
15:00 Visualizing genomic data
15:50 Break
16:00 Visualizing genomic data
16:50 Wrap-up
17:00 Post-workshop survey


To participate in a Data Carpentry workshop, you will need access to the software described below. In addition, you will need an up-to-date web browser.

We maintain a list of common issues that occur during installation as a reference for instructors that may be useful on the Configuration Problems and Solutions wiki page.

Install the videoconferencing client

If you haven't used Zoom before, go to the official website to download and install the Zoom client for your computer.

Set up your workspace

Like other Carpentries workshops, you will be learning by "coding along" with the Instructors. To do this, you will need to have both the window for the tool you will be learning about (a terminal, RStudio, your web browser, etc..) and the window for the Zoom video conference client open. In order to see both at once, we recommend using one of the following set up options:

This blog post includes detailed information on how to set up your screen to follow along during the workshop.


R is a programming language that is especially powerful for data exploration, visualization, and statistical analysis. To interact with R, we use RStudio.

Install R by downloading and running this .exe file from CRAN. Also, please install the RStudio IDE. Note that if you have separate user and admin accounts, you should run the installers as administrator (right-click on .exe file and select "Run as administrator" instead of double-clicking). Otherwise problems may occur later, for example when installing R packages.

Video Tutorial

You can download the binary files for your distribution from CRAN. Or you can use your package manager (e.g. for Debian/Ubuntu run sudo apt-get install r-base and for Fedora run sudo dnf install R). Also, please install the RStudio IDE.

The setup instructions for the Data Carpentry Genomics workshops can be found at the workshop overview site