Learn bioinformatics by doing the real work.
Project-based courses in NGS, RNA-Seq, variant calling, Python, R, Linux and computational drug discovery — taught with the same datasets working researchers use. Self-paced, lifetime access, certificate on completion.
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One membership. The whole curriculum.
Skip buying course-by-course. A BioCode membership bundles hundreds of lectures into one simple subscription — All-Access Core covers our full core curriculum, plus new material as we release it.
- 500+ lectures & tutorials
- New courses added free
- Completion certificates
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Follow a learning path
Curated course sequences that take you from first steps to job-ready, in order.
From zero to bioinformatician
Start from the basics and build to real, job-ready analysis skills.
- 1Introduction to Bioinformatics & Its Advancements
- 2Python for Bioinformatics: Fundamentals
- 3Advanced Bioinformatics Scripting: Python, BioPython, R, BioConductor & Linux
- 4Extensive Bioinformatician Course
Programming for bioinformatics
Python, R and the Linux / Bash command line — the core toolkit for modern biology.
- 1Linux Command Line for Bioinformatics
- 2Python for Bioinformatics: Fundamentals
- 3R for Bioinformatics: Fundamentals
Python for bioinformatics
Stop clicking through web tools one sequence at a time. Learn to write the scripts that do it for you — from your first line of Python to querying NCBI, aligning sequences and building trees in code.
Start this path →R for bioinformatics
The language most biology papers are analysed in. Learn R properly, then make figures a reviewer cannot fault.
Start this path →Become an RNA-Seq analyst
Bulk to single-cell RNA-Seq, on the command line and in Python.
- 1Command-line Based Practical RNA-Seq Data Analysis With Linux & R
- 2End-to-End RNA-Seq Data Analysis With Python-Based Pipeline
- 3Hands-on: Single-Cell RNA-Sequencing Data Analysis Using Command-Line and R [Complete Training]
- 4Hands-on: Single-Cell RNA-Sequencing Data Analysis Using Python [Complete Training]
NGS & variant calling
WES & WGS variant-calling pipelines, through to cancer genomics.
- 1Hands-on: NGS (Whole Exome Sequencing) Variant Calling Using Linux
- 2Hands-on: NGS (Whole Exome Sequencing) Variant Calling Using Python
- 3Cancer Genomics: NGS (Whole Genome Sequencing) Variant Calling Using Linux
- 4Cancer Genomics: NGS (Whole Exome Sequencing) Variant Calling Using Linux
Structural bioinformatics
Protein structure, docking, dynamics and computational drug design.
- 1Understanding Proteins: A Complete Protein Bioinformatics Analysis Workshop
- 2PyMol MasterClass: Perform Expert Level 3D Structure Visualization for Drug Discovery
- 3Computational Drug Discovery and Design
- 4Molecular Dynamics Simulation Course
Browse all courses
Every published course. Use the finder above to narrow by topic, or sort below.
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Project-based
Real pipelines on real research datasets — not toy examples.
Taught by researchers
Built by working bioinformaticians, kept current with the field.
Certificate on completion
Earn a shareable certificate for every course you finish.
Lifetime access
Learn at your own pace and revisit anytime, including updates.
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