These are the course notes for the Monash Bioinformatics Platform’s “R More” course. This builds on our “Introduction to R” course. These modules cover best practices for reproducable sharable results, programming, “tidy” exploratory data analysis, and presenting data interactively with Shiny. We will be covering much more ground than the introductory course, to give a broad overview of the various ways R is currently used.

There is a further module on manipulating DNA sequences and features with Bioconductor. This turned out to be a bit much for one day, and is also more specialized than other topics, so will generally be taught separately.




Further topics

See also

In this series:

Other resources:


This course is developed by the Monash Bioinformatics Platform:

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This work is licensed under a Creative Commons Attribution 4.0 International License.

Some of this material is derived from work by Software Carpentry. Any errors and failures of pedagogy are our own.

Source code