Computational resources
The Flanagan Lab’s recommended tutorials to get started with computational biology
Getting started on the shell
Software Carpentry: Shell Novice
Data Camp: Introduction to Shell
Data Camp: Introduction to Shell for Data Science
Genomics Aotearoa Introduction to Bash Scripting
Other getting started resources
How to create reproducible examples
The Genomics Aotearoa Github has a number of tutorials that might be useful.
Using github in Visual Studio Code
Genomic analysis
The sandbox page has a large number of interactive tutorials to help you get started with genomic data analysis.
University of Otago’s Bioinformatics Spring School
Data Carpentry Genomic Data Workshop
Population genetics and genomics in R
Recommended Workshops
New Zealand eScience Infrastructure Trainings
UC-specific resources
The Research Compute Cluster wiki
Sarah’s recommended tutorials and cheat sheets that might come in handy
These are all guides and tutorials that I’ve found useful, so I want to aggregate and share them here:
Reference managers
Data management
A quick guide to organizing computational biology projects
Ten tips for learning programming
A simple guide to organizing data in a spreadsheet
Kate Laskowski’s guide to data management
Getting started with data analysis and bioinformatics
I highly recommend the book Practical Computing for Biologists, and it has a companion website with code and examples
The Analysis of Biological Data companion website has code and examples, plus some neat visualisation tools.
Karl Broman’s Tools for Reproducible Research
Intro to Bioinformatics from Wilson-Sayres lab
Aggregation of bioinformatics resources from Coppola Lab