| Audience | Computational skills required | Duration |
|---|---|---|
| Biologists | None | 2-day workshop (~ 8 hours of trainer-led time) |
Bioconductor provides R-based tools for comprehension and analysis of high-throughput genomic data. This repository contains teaching materials for a 2-day Introduction to R and Bioconductor. This workshop focuses on teaching basic R and data literacy skills to enable the effective use of Bioconductor tools. While there will be two indepth examples of Bioconductor tool demonstrations, participants will leave this workshop with the ability to know how to approach any Bioconductor tool.
These materials were developed for a trainer-led workshop, but are also amenable to self-guided learning.
- Understand the basics of the programming language R.
- Learn about Bioconductor and the related Bioconductor suite of tools.
- Practise breaking down Bioconductor documentation and applying the tools against real data.
Click here for links to lessons and the suggested schedule.
All:
- Install the programming language R
- Install RStudio (choose the free version of RStudio)
This training is provided by the Bioinformatics and Data Services of Yale University's Cushing/Whitney Medical Library
This content has been adapted from materials developed by members of the teaching team at the Harvard Chan Bioinformatics Core (HBC). These are open access materials distributed under the terms of the Creative Commons Attribution license (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
- Some materials used in these lessons were derived from work that is Copyright © Data Carpentry (http://datacarpentry.org/). All Data Carpentry instructional material is made available under the Creative Commons Attribution license (CC BY 4.0).