resources for learning bioinformatics
- Use the Unofficial Bash Strict Mode (Unless You Looove Debugging)
- Better Bash Scripting in 15 Minutes
- bash pitfalls
- process substitution: Using Names Pipes and Process Substitution in Bioinformatics Handy Bash feature: Process Substitution
- Bioinformatics one-liner from Steven Turner.
- Bioinformatics one-liner 2 from Ming (Tommy) Tang.
- Data Analysis for the Life Sciences Series A course by Rafael Irizarry at Dana Farber.
- Introduction to Computational Biology by Mike Love, the author of DESeq2.
- Advanced R by Hadely.
- Bioconductor courses and conferences
- Using python for research Scroll to the bottom.
- Biology Meets Programming: Bioinformatics for Beginners
- github learning lab
- How to Write a Git Commit Message
- Happy Git and GitHub for the useR A book by Jenny Bryan.
- learn git branching
- A Git Workflow Walkthrough Series
- paper:A Quick Introduction to Version Control with Git and GitHub
- paper:Ten Simple Rules for Taking Advantage of Git and GitHub
- software carpentry git novice lesson
- git best practise
- git-hub cheatsheet
- oh shit git! Git is hard: screwing up is easy, and figuring out how to fix your mistakes is fucking impossible. Git documentation has this chicken and egg problem where you can't search for how to get yourself out of a mess, unless you already know the name of the thing you need to know about in order to fix your problem.
- How to undo (almost) anything with Git
- A guide for astronauts (now, programmers using Git) about what to do when things go wrong: git flight rules
- An opinionated intermediate/advanced Git book: git in practise
- A Primer for Computational Biology A nice book.
- gcp-for-bioinformatics a repo with patterns for using the public cloud for bioinformatics, uses GCP, but patterns can be applied to other public cloud vendors, i.e. AWS, Azure....