Microbiome

A microbiome is the community of microorganisms that can usually be found living together in any given habitat. Microbiome research has grown substantially over the past decade in terms of the range of biomes sampled, identified taxa, and the volume of data derived from the samples.

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Requirements

Before diving into this topic, we recommend you to have a look at:

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Material

You can view the tutorial materials in different languages by clicking the dropdown icon next to the slides (slides) and tutorial (tutorial) buttons below.

Introduction

Start here if you are new to microbiome analyses in Galaxy.

Lesson Slides Hands-on Recordings Input dataset Workflows
Introduction to Microbiome Analysis
Analyses of metagenomics data - The global picture

Metabarcoding / Amplicon analyses

Taxonomic characterisation of mixed samples using a single gene region.

Lesson Slides Hands-on Recordings Input dataset Workflows
16S Microbial analysis with Nanopore data
Antibiotic resistance detection
Building an amplicon sequence variant (ASV) table from 16S data using DADA2
QIIME 2 Cancer Microbiome Intervention external-link
QIIME 2 Moving Pictures external-link
16S Microbial Analysis with mothur (extended)
16S Microbial Analysis with mothur (short)

Metagenomics

Taxonomic and functional characterisation and assembly of mixed samples using whole genome data.

Lesson Slides Hands-on Recordings Input dataset Workflows
Assembly of metagenomic sequencing data
Binning of metagenomic sequencing data
Calculating α and β diversity from microbiome taxonomic data
Identification of the micro-organisms in a beer using Nanopore sequencing
Pathogen detection from (direct Nanopore) sequencing data using Galaxy - Foodborne Edition
Taxonomic Profiling and Visualization of Metagenomic Data

Metatranscriptomics

Taxonomic and functional characterisation of mixed samples using transcriptome data.

Lesson Slides Hands-on Recordings Input dataset Workflows
Metatranscriptomics analysis using microbiome RNA-seq data
Metatranscriptomics analysis using microbiome RNA-seq data (short)

Metaproteomics

These tutorials are step by step analysis from database generation to the discovery of peptides to verification, quantitation, and interpretation of the results.

Lesson Slides Hands-on Recordings Input dataset Workflows
Clinical Metaproteiomics 1: Database-Generation
Clinical Metaproteomics 2: Discovery
Clinical Metaproteomics 3: Verification
Clinical Metaproteomics 4: Quantitation
Clinical Metaproteomics 5: Data Interpretation

Other

Assorted Tutorials

Lesson Slides Hands-on Recordings Input dataset Workflows
Identifying Mycorrhizal Fungi from ITS2 sequencing using LotuS2

Frequently Asked Questions

Common questions regarding this topic have been collected on a dedicated FAQ page . Common questions related to specific tutorials can be accessed from the tutorials themselves.

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Editorial Board

This material is reviewed by our Editorial Board:

orcid logoBérénice Batut avatar Bérénice Batutorcid logoSaskia Hiltemann avatar Saskia Hiltemannorcid logoPaul Zierep avatar Paul Zierep

Contributors

This material was contributed to by:

Matthias Bernt avatar Matthias BerntSophia Hampe avatar Sophia HampePraveen Kumar avatar Praveen Kumarorcid logoPolina Polunina avatar Polina Poluninaorcid logoFotis E. Psomopoulos avatar Fotis E. PsomopoulosSujai Kumar avatar Sujai Kumarorcid logoWolfgang Maier avatar Wolfgang MaierBethan Manley avatar Bethan Manleyorcid logoBérénice Batut avatar Bérénice Batutorcid logoPratik Jagtap avatar Pratik Jagtaporcid logoHans-Rudolf Hotz avatar Hans-Rudolf HotzSiyu Chen avatar Siyu Chenorcid logoNikos Pechlivanis avatar Nikos PechlivanisDechen Bhuming avatar Dechen Bhumingorcid logoPaul Zierep avatar Paul ZierepKatherine Do avatar Katherine DoRay Sajulga avatar Ray Sajulgaorcid logoSubina Mehta avatar Subina Mehtaorcid logoEngy Nasr avatar Engy Nasrorcid logoDave Clements avatar Dave ClementsTeresa Müller avatar Teresa Müllerorcid logoCristóbal Gallardo avatar Cristóbal Gallardoorcid logoClea Siguret avatar Clea SiguretWillem de Koning avatar Willem de Koningorcid logoSaskia Hiltemann avatar Saskia HiltemannEmma Leith avatar Emma Leithorcid logoTimothy J. Griffin avatar Timothy J. Griffin

Funding

These individuals or organisations provided funding support for the development of this resource

References