A collection of ready-to-run Google Colab notebooks for genomic analysis and machine learning in bioinformatics.
Currently featuring:
- 🔍 VCF Calling Notebooks - Because finding variants shouldn't be variant!
- 🧮 GWAS Analysis - Genome-wide association studies made friendly
- 🤖 ML Cancer Classification - Teaching machines to be genome detectives
- 🎯 Feature Extraction - Finding needles in the genomic haystack
- Free GPU/TPU - Because your laptop deserves a break
- Zero Setup - No more "works on my machine" syndrome
- Share & Collaborate - Like Google Docs, but for bioinformatics
- Pre-installed Libraries - Save time for actual analysis
- Persistent Storage - Google Drive integration
- Interactive Learning - Code, visualize, learn, repeat!
- Click on notebook links
- Open in Google Colab
- Run cells and learn!
- Save your own copy to experiment
More notebooks on:
- Population genetics
- RNA-seq analysis
- Deep learning in genomics
- And whatever cool genomic stuff we think of next!
Making genomics and bioinformatics:
- Accessible (no setup headaches)
- Understandable (detailed explanations)
- Practical (real-world applications)
- Fun (yes, bioinformatics can be fun!)
- Students learning bioinformatics
- Researchers wanting quick starts
- Anyone curious about genomics and ML
- You (Yes, you!)
Found bugs? Have ideas? Want to add your own notebook?
- Open an issue
- Submit a pull request
- Share your feedback
Star ⭐ and watch 👀 this repo for updates!
Made with 🧬, 💻, and a sprinkle of bioinformatics magic
Dr. Kanaka K. K., PhD, ARS
Scientist
School of Bioinformatics
ICAR-Indian Institute of Agricultural Biotechnology, Ranchi
Be like IIAB!: IIAB is like yogic center where all the sciences (Plant, Animal, Aquatic,Mibrobiology, IT) meet to address emerging issues in food production.