These are the course notes for the Monash Bioinformatics Platform’s “R More” course. This builds on our “Introduction to R” course. In this course we cover best practices for reproducable sharable results, programming, “tidy” exploratory data analysis, manipulating DNA sequences and features with Bioconductor, 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.

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In this series:

Other resources:

Authors

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.

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