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Summary of Week 3

What we learned in Week 3
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© Wellcome Genome Campus Advanced Courses and Scientific Conferences

Seeing how to handle and analyse your data using the command-line in Week 1, and how to write and run bash scripts to automate that handling during Week 2, in Week 3 you saw how you can analyse and visually represent your data using R and RStudio.

We first reviewed together the key concepts and basics of using the R language. You had an opportunity to learn how to manipulate lists, vectors or dataframes, and how to read and interrogate data from files to create simple plots under R. We then saw how RStudio can simplify these processes, and you learned how to work under RStudio to easily create simple or more complex plots using available packages specifically designed for that purpose.

Please leave your comments in the comments section below – in particular, did you learn anything that will be applicable to your own practice or study?

We hope you enjoyed this course!

Please attempt the End of the Course Test in the next step. Getting 70% or more on the test and reviewing (marking as complete) at least 90% of steps in this course, make you eligible for the Certificate of Achievement which you can download at the end of the course.

Good luck with your next step!

© Wellcome Genome Campus Advanced Courses and Scientific Conferences
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Bioinformatics for Biologists: An Introduction to Linux, Bash Scripting, and R

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