This repository provides a fully containerized development environment for the Professional Certificate in Data Analysis for Genomics, specifically designed to support the following Harvard Online courses:
- PH525.5x: Introduction to Bioconductor
- PH525.6x: Case Studies in Functional Genomics
- PH525.7x: Advanced Bioconductor
- 🧬 Comprehensive Genomics Development Environment
- 🐳 Docker and DevContainer Support
- 🖥️ Browser-Accessible RStudio
- 📚 Pre-configured Bioconductor and R Libraries
- 🚀 Reproducible Research Setup
- Docker or Podman
- Docker-compose or Podman-compose
docker compose build
docker compose up -dAddendum: You can also run these commands with Podman. In fact, Podman is recommended for its enhanced security—thanks to rootless and daemonless architecture and its more flexible licensing model.
Access RStudio at: http://localhost:8787
- Username: rstudio
- Password: rstudio
🚧 Work in Progress
- Currently configured for PH525.5x: Introduction to Bioconductor
- Libraries and setup will expand as the course progresses
Created to streamline the learning experience by:
- Eliminating repetitive library installation
- Providing a consistent development environment
- Reducing setup time between course sections
genomics bioinformatics data-science r-programming bioconductor docker devcontainer RNA-seq ChIP-seq DNA-methylation harvard-online genomic-data-analysis
- Explore genome-scale data analysis
- Learn data structure and annotation
- Master normalization techniques
- Understand data interpretation strategies
- Practical RNA-Seq analysis
- ChIP-Seq data exploration
- DNA methylation studies
- Open-source software application
- Advanced genomic visualization
- Reproducible analysis techniques
- Cloud-scale genomic data exploration
- Consortium-generated data handling
Contributions, suggestions, and improvements are welcome! Please open an issue or submit a pull request.
This project is licensed under the MIT License.
- Harvard Online
- Bioconductor Project
- Open-source community