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 Linux.
Some workshops will require a working knowledge of R or completion of the Introduction to R workshop. Other workshops will require a working knowledge of the bash scripting language or completion of the Introduction to Unix workshop.
See our current workshop schedule on our training website.
** 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 Workshops
Lessons | Prerequisites |
---|---|
Introduction to R | None |
Introduction to the tidyverse data science packages and visualizations with ggplot2 | Beginner R or IntroR workshop |
Gene annotations and functional analysis of gene lists | Beginner R or IntroR workshop |
Generating research analysis reports with RMarkdown | Beginner R or IntroR workshop |
Previous Workshops
Lessons | Prerequisites |
---|---|
Introduction to the command-line interface | None |
Intermediate bash | Beginner bash or Intro to the command-line interface |
Version control using Git and Github | Beginner bash or Intro to the command-line interface |
Accessing genomic reference and experimental sequencing data | Beginner bash or Intro to the command-line interface |
Exploring genomic variants using GEMINI | Beginner bash or Intro to the command-line interface |
Introduction to R | None |
Visualization in R | Beginner R or IntroR workshop |
Functional analysis of gene lists | Beginner R or IntroR workshop |
Reproducible research using R (Rmarkdown: report generation) | Beginner R or IntroR workshop |
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.