A maximum of 15 candidates will be selected on the basis of motivations given in the application form.
Selected participants will be notified by Jul 7, 2020.
aims to help researchers get their work done
in less time and with less pain
by teaching them basic research computing skills.
This hands-on workshop will cover basic computing concepts and tools,
including program design, data management, data visualization, and task automation using R and RStudio software environment.
Participants will be encouraged to help one another
and to apply what they have learned to their own research problems.
The course is aimed at both Bioinformaticians and Biologists who want to learn how to manipulate, process data, and make plots using R.
Some best practices for scientific programming will be explained: breakdown analyses into modular units, task automation, and encapsulation.
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.
Requirements: Participants must have a desktop/laptop 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).
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.
Install R by downloading and running
this .exe file
Also, please install the
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.
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