whatisgithub

What is bioinformatics?

ossu/bioinformatics — explained in plain English

Analysis updated 2026-06-24

6,844Audience · researcherComplexity · 1/5Setup · easy

In one sentence

A free, self-paced 4-year curriculum for learning bioinformatics from scratch using courses from MIT, Stanford, and Johns Hopkins, no tuition, no degree required, archived but still usable.

Mindmap

mindmap
  root((OSSU Bioinformatics))
    Year 1 and 2 Foundations
      Biology and chemistry
      Calculus and stats
      Python and Java
    Years 3 and 4
      Molecular biology
      Genomics
      Data science electives
    Course Platforms
      Coursera
      MIT OpenCourseWare
      edX
    Audience
      Self-taught learners
      Career changers
Click or tap to explore — scroll the page freely

Code map

Detail Auto

An interactive map of this repo's files and how they connect — its source is parsed live in your browser. Click Visualize to build it.

filefunction / class

What do people build with it?

USE CASE 1

Follow a structured 4-year learning path to enter bioinformatics without paying for a traditional degree

USE CASE 2

Use the course list as a checklist to find gaps in your bioinformatics and computational biology knowledge

USE CASE 3

Plan a self-study schedule for genomics using free university courses from Coursera and MIT OpenCourseWare

What is it built with?

PythonJava

How does it compare?

ossu/bioinformaticsanthropics/claude-agent-sdk-pythondatabasus/databasus
Stars6,8446,8446,845
LanguagePythonGo
Setup difficultyeasyeasyeasy
Complexity1/53/53/5
Audienceresearcherdeveloperops devops

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · easy Time to first run · 5min

So what is it?

This repository is a free, self-taught curriculum for learning Bioinformatics, put together by the Open Source Society University. It lays out a full four-year course sequence that anyone can follow at their own pace, using free online courses from universities like MIT, Stanford, and Johns Hopkins. The project is now archived and no longer actively updated, so some course links may be out of date. The curriculum is organized by year. The first two years cover the foundational science and math you need, including biology, chemistry, calculus, statistics, and introductory programming in Python and Java. The later years move into more specialized topics like molecular biology, cell biology, genomics, and a dedicated Bioinformatics series on Coursera. There is also an optional extension year covering machine learning and a genomic data science specialization. Each course listing includes an estimated duration and weekly time commitment, so you can plan your schedule. The guide recommends completing courses in order, since later material builds on earlier subjects. A community existed around this curriculum on Slack, though as an archived project that community may no longer be active. This is not software you run. It is a study plan, a curated list of links pointing to courses hosted on platforms like Coursera, edX, MIT OpenCourseWare, and Udacity. The target audience is anyone who wants to move toward working in bioinformatics without paying for a traditional degree program.

Copy-paste prompts

Prompt 1
I want to start the OSSU bioinformatics curriculum and I already know Python basics. Which courses in years 1-2 can I skip, and which are essential?
Prompt 2
Build me a 6-month study plan focusing on the Coursera bioinformatics specialization courses from the OSSU curriculum.
Prompt 3
I just finished year-2 biology and chemistry. What Python libraries should I learn next to work on real genomics data?
Prompt 4
Explain what the Johns Hopkins Bioinformatics Specialization on Coursera covers, as if I have no biology background at all.

Frequently asked questions

What is bioinformatics?

A free, self-paced 4-year curriculum for learning bioinformatics from scratch using courses from MIT, Stanford, and Johns Hopkins, no tuition, no degree required, archived but still usable.

How hard is bioinformatics to set up?

Setup difficulty is rated easy, with roughly 5min to a first successful run.

Who is bioinformatics for?

Mainly researcher.

Open on GitHub → Ask about another repo

This repo across BitVibe Labs

Verify against the repo before relying on details.