A four-part course put together by Kate Hertweck (former Hutch instructor). I think it's good. Was updated in 2020 - not sure it will continue to be updated, but not many of the basics change.
Another, more in-depth R course.
RStudio's on-demand webinars.
RStudio's cheatsheets on various aspects of R coding. Helps you remember function names when you're coding.
Much more documentation on the Hutch resources here.
Risa recommends this RNA-seq tutorial from Melbourne Bioinformatics
Hutch new (summer 2022) Data Science Lab (DaSL) has a list of training resources.
A list of courses/resources suggested by other Hutch people: includes Hutch stuff as well as resources elsewhere on the internet (scroll to the bottom).
The Hutch ‘Coop’ Bioinformatics & Data Science Cooperative. Used to have staff whose job was training, but not any more, sadly. Website still has some teaching materials here.
Some useful classes/courses available through fhcrc.io.
The Carpentries – coding and data science courses
Bioinformatics.ca resources
- https://www.youtube.com/channel/UCKbkfKk65PZyRCzUwXOJung
- https://bioinformatics.ca
- https://bioinformatics-ca.github.io
Evolution and genomics training materials including tutorials on very specific things like PAML, also very general things like basic unix.
EBI's training materials
UW Summer Institutes (Biostats department). Every year, July/August. Sign up for half-week modules on various topics (stats, genetics, genomics, big data, epidemiology and more)
Data Camp - very broad range of programming/data analysis topics, not biology focussed. Maybe subscription based? Not sure what you can get for free.
Code Academy - very broad range of programming/data analysis topics, not biology focussed. Maybe subscription based? Not sure what you can get for free.
RuneStone Academy - open source textbooks. Don't know anything about the quality.
Peter suggests this set of slides - Introduction to Methods and Software for Phylogenomics
regexpr website - helps figure out regular expressions