Understanding Microbiome Diversity Through Metagenomics
Master 16s rRNA sequencing to explore microbial communities and their impact on health and disease.
The World Within: An Introduction to Metagenomics
Metagenomics is the study of genetic material recovered directly from environmental samples, allowing us to analyze the collective genomes of microbial communities without the need for culturing individual species. This approach has transformed our understanding of the microbial world, particularly the human microbiome. By identifying the diverse microorganisms living within us, we can uncover their roles in health, disease, and environmental processes.
Next-Generation Sequencing (NGS) technologies, especially 16s rRNA sequencing, are at the heart of this revolution. They provide a powerful lens to examine microbial diversity with incredible speed and detail. Our workshop is designed to equip you with the essential skills to navigate this data, turning complex sequences into meaningful biological stories.
Key Features & Benefits
Practical, Hands-On Training
Move beyond theory with hands-on sessions using industry-standard tools like R and DADA2 to build practical, job-ready skills.
Industry-Relevant Case Studies
Apply your learning to real-world scenarios from gut health and clinical diagnostics to understand the practical impact of metagenomics.
Expert-Led Instruction
Learn from experienced bioinformaticians who provide detailed discussions, live demonstrations, and ongoing support.
Comprehensive Resources
Gain lifetime access to all workshop materials, recordings, and reference documents to support your continued learning and research.
What You Will Learn
Module 1: Bioinformatics & R Essentials
- Bioinformatics Basics: Get an overview of the gut microbiome, its impact on health, and how to retrieve public data.
- R Programming: Master the fundamentals of R, including objects, file operations, plotting, and an introduction to Bioconductor.
Module 2: Metagenomics Methods & Workflows
- Sequencing Technologies: Understand the differences between 16S rRNA and whole-genome shotgun sequencing.
- 16s rRNA Data Analysis: A step-by-step guide to data analysis using DADA2, illustrated with real-world case studies.
Module 3: Interpretation & Visualization
- Statistical Analysis: Perform alpha and beta diversity analysis to compare microbial communities.
- Taxonomic & Functional Analysis: Classify the identified taxa and analyze their functional potential to understand their role in the ecosystem.
Ready to Explore the Microbial Universe?
Join our comprehensive workshop and master the skills needed to analyze and interpret metagenomic data for research and clinical applications.