| Audience | Computational skills required | Duration |
|---|---|---|
| Biologists | Basic R | 3-session online workshop (~7.5 hours of trainer-led time) |
Reproducibility is an integral part of high-quality research, and this is the case for computational work as well. In bioinformatics, good reproducible work is critical for result interpretation, code sharing and project collaboration. This hands-on workshop will instruct participants on several best practices for reproducible research in Bioinformatics, and introduce the use of RMarkdown, Git version control and Github. To attend this workshop, working knowledge of R or completion of the Introduction to R workshop is required.
Note for Trainers: Please note that the schedule linked below assumes that learners will spend between 2-3 hours on reading through, and completing exercises from selected lessons between classes. The online component of the workshop focuses on more exercises and discussion/Q & A.
These materials were developed for a trainer-led workshop, but are also amenable to self-guided learning.
- How to generate reports for your analyses using RMarkdown
- How to track changes as you work on files using a version control system called Git (GitHub Desktop tool)
- How to collaborate effectively, and disseminate code & other documents using Github
Click here for links to lessons and the suggested schedule
Please download and install GitHub Desktop
Create an account for yourself on GitHub. Please be sure to select the free/academic account, as this option has more long-term flexibility.
These materials have been 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.