Binning and MAG generation: practical
Trainer: Tatiana Gurbich
Overview: In the practical session you will have the chance to assemble short-read metagenomic data into contigs, perform basic analysis of assembled data, bin an assembly using MetaBAT2, assess the quality of the bins with checkM, and then visualise a placement of the bins/genomes within a reference tree.
Learning outcomes
After this session you should be able to:
- Identify the usefulness of MAGs
- Identify the main algorithms employed to generate MAGs
- Perform assessment of MAG quality, taxonomic assignment, and dereplication of MAGs across samples
- Use MAGs to create the Unified Human Gastrointestinal Genome (UHGG) collection
Materials: