Microbiome analysis

This track introduces microbiome data analysis using Galaxy, covering both foundational and advanced workflows.

It begins with metabarcoding / amplicon-based analysis using DADA2, a widely adopted standard approach for processing and visualizing microbiome data, which can be directly applied to real-world datasets.

The read-based metagenomics section introduces taxonomic classification using Kraken2 and MetaPhlAn, along with downstream diversity analysis. It covers how sequencing reads are assigned to microbial taxa using both k-mer–based and marker gene–based approaches, how classification results can be interpreted, and how community composition can be explored using diversity metrics and visualizations. Together, these steps provide a foundation for understanding microbial community structure directly from sequencing reads without the need for assembly.

The Metagenome-Assembled Genomes (MAGs) section provides a comprehensive overview of MAG generation, developed in collaboration with the FAIRyMAGs project. It includes all key steps: quality control, removal of host and contaminant reads, assembly, binning (demonstrated with four different tools), bin refinement, and functional annotation.

A complete end-to-end workflow is provided as a foundation for analyzing your own samples. The track then progresses to more advanced topics, including metatranscriptomics and pathogen detection.

You can start with the tutorials at your own pace. However, if you plan to work through the MAG workflow, we recommend allocating several days, as it is a complex and computationally intensive topic.

If you need support, contact us via the Slack channel gta_microbiome.

🚨 The workflows used for this track were tested thoroughly on the EU server. If you encounter any issues with execution on other servers, we recommend retrying the tutorial on usegalaxy.eu!

Organiser(s) orcid logoPaul Zierep avatar Paul Ziereporcid logoBérénice Batut avatar Bérénice Batut
Instructor(s) orcid logoAnna Syme avatar Anna Symeorcid logoBérénice Batut avatar Bérénice Batutorcid logoEngy Nasr avatar Engy NasrGareth Price avatar Gareth PriceIgor Makunin avatar Igor Makuninorcid logoJennifer Hillman-Jackson avatar Jennifer Hillman-JacksonMatthias Bernt avatar Matthias Berntorcid logoPaul Zierep avatar Paul Ziereporcid logoPolina Polunina avatar Polina Poluninaorcid logoRand Zoabi avatar Rand Zoabiorcid logoSaim Momin avatar Saim Mominorcid logoPratik Jagtap avatar Pratik Jagtaporcid logoSantino Faack avatar Santino Faackorcid logoGiuseppe Defazio avatar Giuseppe Defazioorcid logoMina Hojat Ansari avatar Mina Hojat Ansari

Need help with these tutorials?

Open Slack support channel for this track: comment   #gta_microbiome

Introduction

Introduction to Microbiome Analysis.

Lesson Slides Hands-on Recordings
Introduction to Microbiome Analysis

Metabarcoding

Identify and analyze the diversity of species in environmental samples by amplifying and sequencing specific genetic markers.

Lesson Slides Hands-on Recordings
Building an amplicon sequence variant (ASV) table from 16S data using DADA2

Read-based Metagenomics

After basic sequence Profile the taxonomic diversity using collective DNA from environmental samples. 🚨 The interactive tools Pavian and Phinch are currently not working on usegalaxy.org/org.au and .fr. Please use usegalaxy.eu for this step.

Lesson Slides Hands-on Recordings
Quality Control
Remove contamination and host reads
Taxonomic Profiling and Visualization of Metagenomic Data
Calculating α and β diversity from microbiome taxonomic data

FAIRyMAGs presents: Metagenome-Assembled Genomes (MAGs) building

Learn all the steps to build Metagenome-Assembled Genomes (MAGs). Start (optionally) with quality control and contamination and host read removal. Then follow assembly and binning, followed by functional annotation. Finally, the full end-to-end workflow can be used as a basis to build MAGs for your own samples.

Lesson Slides Hands-on Recordings
Quality Control
Remove contamination and host reads
Assembly of metagenomic sequencing data
Binning of metagenomic sequencing data
Bacterial Genome Annotation
Building and Annotating Metagenome-Assembled Genomes (MAGs) from Short Metagenomics Paired Reads

Metatranscriptomics

Profile the taxonomic diversity and the functional processes from collective RNA from environmental samples

Lesson Slides Hands-on Recordings
Metatranscriptomics analysis using microbiome RNA-seq data

Pathogen detection

Detect and track pathogens from metagenomic Nanopore sequencing

Lesson Slides Hands-on Recordings
Pathogen detection from (direct Nanopore) sequencing data using Galaxy - Foodborne Edition