List of resources for learning bioinformatics, from beginner to advanced. The audience of this list is people who have the desire to get started learning programming and bioinformatics tools but aren't sure where to start.

As always, the absolute best way to learn something is through a project. It is highly recommend that as you learn a new concept in each course, apply the tool/math/concept to your own data!

To add to this list of bioinformatics resources, the easiest way is to click "README.md" above, then hit the "edit" button (it looks like a pencil):

That will take you to a page that looks like this:

Where you can edit THIS file in the "Markdown" format. Here is a 60-second introduction to Markdown

Once you're done, scroll to the bottom, add a quick summary of what you added, and click "Propose file change." We'll get back to you shortly!

• #book: hardcover or online book that has problems and explanations to follow through on your own. Typically larger scale than a #tutorial
• #course: Online or in-person course that you can sign up for with other students. In many cases, you can also work through them on your own
• #r: the R programming language
• #python: the Python programming language
• #tutorial: teaches a specific thing to introduce a concept. Typically smaller scale than a #book
• #unix: The Unix command line

This is for people who may still be "afraid" of the command line and want a gentle introduction.

• Data Carpentry - Introduces OpenRefine, R, SQL for data analysis and structure. Can be done on your own or you could attend a 2-day workshop near you! #course #tutorial
• Software Carpentry - Introduces Unix command line (bash shell), Python, R, Git, SQL for reproducible programming and research. Can be done on your own or you could attend a 2-day workshop near you! #course #tutorial

This is for people who feel ready to hit the ground running

• Biology meets programming: Bioinformatics for Beginners #course
• Bioinformatics Computing Course #tutorial
• Coursera "Bioinformatics tag" #course
• Genomic Data Science Specialization, especially: #course
  • Command Line Tools for Genomic Data Science #course #unix
• How to think like a computer scientist #book
• Learn Python the Hard Way #book
• Practical Computing for Biologists
• Python for Biologists - Teaches everything an intro Python course would teach, but frames everything in terms of biological questions. #book
• Rosalind - List of problems that build on each other in complexity, starting from calculating GC content to assembling genomes! #problems
• swirl - Interactive R programming courses in the R console #course #r
• Whirlwind Tour of Python#tutorial

• Advanced Python for Biologists - the next level of the "Python for Biologists" series #book
• Rosalind - List of problems that build on each other in complexity, starting from calculating GC content to assembling genomes! #problems
• Python Data Science Handbook #book
• The Art of Computer Programming - A classic text describing the fundamental algorithms of storing and transforming information.
• Data Structures #book
• [How do I learn machine learning?]

• 10-minute tutorials for AWS #tutorial