- Course overview
- Search within this course
- Environmental DNA
- DNA metabarcoding and its applications
- Workflow for eDNA metabarcoding
- DADA2 for analysing metabarcoding data
- Taxonomic classification to assess biodiversity
- Statistics principles in data analysis
- Advances in biodiversity exploration
- Bringing data to life: Data management and sharing
- Further learning
- Your feedback
- References
All materials are free cultural works licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license, except where further licensing details are provided.
MGnify practicals
To help you with exploring some of the features of MGnify, work through this hands-on practical, developed for researchers working with eDNA samples.
After completing the exercises in this practical you will be able to:
- Search for relevant data in MGnify
- Browse and navigate the MGnify website to find relevant information
- Download metagenomic datasets
- Identify the relationships between different data types and analysis types available in MGnify
Prerequisites for the MGnify practical:
- The practical is hosted in JupyterLite notebook which requires an up-to-date web browser
- Experience with Python is beneficial but not essential to follow along with the exercises
If you want to learn more about the tools, processes, and analysis approaches used in metagenomics explore the course materials created from an EMBL-EBI live course: Metagenomics bioinformatics at MGnify