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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Community Resources

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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:

orcid logoDave Clements avatar Dave Clementsorcid logoPolina Polunina avatar Polina PoluninaDechen Bhuming avatar Dechen Bhumingorcid logoClea Siguret avatar Clea Siguretorcid logoHelena Rasche avatar Helena RaschePraveen Kumar avatar Praveen KumarMatthias Bernt avatar Matthias Berntorcid logoSubina Mehta avatar Subina Mehtaorcid logoSaskia Hiltemann avatar Saskia Hiltemannorcid logoBjörn Grüning avatar Björn GrüningNuwan Goonasekera avatar Nuwan Goonasekeraorcid logoLinelle Abueg avatar Linelle AbuegTeresa Müller avatar Teresa Müllerorcid logoWolfgang Maier avatar Wolfgang MaierRay Sajulga avatar Ray Sajulgaorcid logoCristóbal Gallardo avatar Cristóbal Gallardoorcid logoNikos Pechlivanis avatar Nikos Pechlivanisorcid logoFotis E. Psomopoulos avatar Fotis E. PsomopoulosSujai Kumar avatar Sujai KumarSiyu Chen avatar Siyu ChenKatherine Do avatar Katherine DoEmma Leith avatar Emma LeithSophia Hampe avatar Sophia Hampeorcid logoPaul Zierep avatar Paul Ziereporcid logoTimothy J. Griffin avatar Timothy J. Griffinorcid logoHans-Rudolf Hotz avatar Hans-Rudolf Hotzorcid logoEngy Nasr avatar Engy Nasrorcid logoBérénice Batut avatar Bérénice BatutBethan Manley avatar Bethan ManleyWillem de Koning avatar Willem de Koningorcid logoPratik Jagtap avatar Pratik JagtapDeepti Varshney avatar Deepti Varshney

Funding

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

References