Microbiome

Lesson Slides Hands-on Recordings Input dataset Workflows
Introduction to Microbiome Analysis
16S Microbial analysis with Nanopore data
Analyses of metagenomics data - The global picture
Antibiotic resistance detection
Assembly of metagenomic sequencing data
Binning of metagenomic sequencing data
Building an amplicon sequence variant (ASV) table from 16S data using DADA2
Building and Annotating Metagenome-Assembled Genomes (MAGs) from Short Metagenomics Paired Reads
Calculating α and β diversity from microbiome taxonomic data
Clinical Metaproteomics 1: Database-Generation
Clinical Metaproteomics 2: Discovery
Clinical Metaproteomics 3: Verification
Clinical Metaproteomics 4: Quantitation
Clinical Metaproteomics 5: Data Interpretation
Identification of the micro-organisms in a beer using Nanopore sequencing
Identifying Mycorrhizal Fungi from ITS2 sequencing using LotuS2
Indexing and profiling microbes with MetaSBT
MGnify v5.0 Amplicon Pipeline
MGnify v5.0 Amplicon Pipeline
Metatranscriptomics analysis using microbiome RNA-seq data
Metatranscriptomics analysis using microbiome RNA-seq data (short)
Pathogen detection from (direct Nanopore) sequencing data using Galaxy - Foodborne Edition
help QIIME 2 Cancer Microbiome Intervention
help QIIME 2 Moving Pictures
Query an annotated mobile genetic element database to identify and annotate genetic elements (e.g. plasmids) in metagenomics data
Remove contamination and host reads
Taxonomic Profiling and Visualization of Metagenomic Data
16S Microbial Analysis with mothur (extended)
16S Microbial Analysis with mothur (short)