Current Topics in Bioinformatics workshops
| Audience | Computational Skills | Duration |
|---|---|---|
| Biologists | Beginner or intermediate R and/or beginner bash | 2-3 hour workshops |
This repository has teaching materials for 2-3 hour, hands-on workshops covering a variety of topics related to bioinformatics data analysis. The workshops will lead participants through performing different types of analyses using R/RStudio or Shell/bash.
** NOTE: Detailed information and preparation instructions for each of the workshops can be found by clicking on the workshop links in the table below.
Workshop introduction slides are available here.
Current Topics in Bioinformatics workshops 2025 Schedule (1pm - 4pm):
| Topic and Link(s) to lessons | Prerequisites | Date | Registration |
|---|---|---|---|
| Foundations in R | None | 2/19/2025 | Closed |
| Markdown for Reproducible Reporting | Introduction to R, Foundations in R, or Introduction to R online resource |
3/19/2025 | Closed |
| “Track Changes” for your code: An Introduction to Git and GitHub | None | 4/16/2025 | Sign up! |
| Coding with others: Managing conflicts on GitHub | “Track Changes” for your code: An Introduction to Git and GitHub | 5/21/2025 | Sign up! |
| Statistics for Computational Biology Projects | None | 6/18/2025 | Sign up! |
| Deeper differential expression analysis with shrinkage correction | Introduction to R, Foundations in R, or Introduction to R online resource |
7/16/2025 | Sign up! |
Links to workshop materials
R-based workshops:
Shell-based workshops:
Additional workshops:
| Topic and Link(s) to lessons | Prerequisites |
|---|---|
| Introduction to Python | None |
| Planning a bulk RNA-seq analysis: Part I | None |
| Planning a bulk RNA-seq analysis: Part II | None |
| Make your (RNA-seq) data analysis reproducible- Taught by Julie Goldman from Countway Library | None |
| Improving your (RNA-seq) data analysis using version control (Git) | None |
| Introduction to scRNA-seq and data pre-processing | Introduction to R, Foundations in R, or Introduction to R online resource and Shell for Bioinformatics or Foundations in Shell |
These materials have been developed by members of the teaching team at the Harvard Chan Bioinformatics Core (HBC) RRID:SCR_025373. 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.
A lot of time and effort went into the preparation of these materials. Citations help us understand the needs of the community, gain recognition for our work, and attract further funding to support our teaching activities. Thank you for citing the corresponding course (as suggested in its “Read Me” section) if it helped you in your data analysis.