Proteomics

Training material for proteomics workflows in Galaxy

Requirements

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

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 proteomic analysis in Galaxy.

Lesson Slides Hands-on Recordings Input dataset Workflows
Introduction to proteomics, protein identification, quantification and statistical modelling

Protein identification and quantification

These tutorials cover protein identification and/or label-free and label based quantification from data dependent acquisition (DDA) and data independent acquisition (DIA).

Lesson Slides Hands-on Recordings Input dataset Workflows
DIA Analysis using OpenSwathWorkflow
DIA
EncyclopeDIA
DIA
Label-free data analysis using MaxQuant
Label-free versus Labelled - How to Choose Your Quantitation Method
DDA
Library Generation for DIA Analysis
DIA
MaxQuant and MSstats for the analysis of TMT data
MaxQuant and MSstats for the analysis of label-free data
Peptide and Protein ID using OpenMS tools
Peptide and Protein ID using SearchGUI and PeptideShaker
Peptide and Protein Quantification via Stable Isotope Labelling (SIL)
Protein FASTA Database Handling
DDA

Postprocessing of proteomics data

These tutorial cover statistical analyses and visualizations after protein identification and quantification.

Lesson Slides Hands-on Recordings Input dataset Workflows
Annotating a protein list identified by LC-MS/MS experiments
Biomarker candidate identification
Single Cell Proteomics data analysis with bioconductor-scp
Statistical analysis of DIA data
DIA

Special proteomics techniques

These tutorials focus on special techniques such as N-terminomics and mass spectrometry imaging.

Lesson Slides Hands-on Recordings Input dataset Workflows
Detection and quantitation of N-termini (degradomics) via N-TAILS
Mass spectrometry imaging: Loading and exploring MSI data

Multi-omics analyses

These tutorials combine proteomics with other -omics technologies such as transcriptomics.

Lesson Slides Hands-on Recordings Input dataset Workflows
Metaproteomics tutorial
Multiomics data analysis using MultiGSEA
Proteogenomics 1: Database Creation
Proteogenomics 2: Database Search
Proteogenomics 3: Novel peptide analysis
metaQuantome 1: Data creation
metaQuantome 2: Function
metaQuantome 3: Taxonomy

Prediction of peptide properties

These tutorials explain in-silico analyses of different peptide properties.

Lesson Slides Hands-on Recordings Input dataset Workflows
Machine Learning Modeling of Anticancer Peptides
Peptide Library Data Analysis

Metaproteomics analysis of clinical data

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 Metaproteomics 1: Database-Generation
Clinical Metaproteomics 2: Discovery
Clinical Metaproteomics 3: Verification
Clinical Metaproteomics 4: Quantitation
Clinical Metaproteomics 5: Data Interpretation

Neoantigen discovery using the iPepGen pipeline

These tutorials outline the identification, prediction, and validation of potential neoantigens.

Lesson Slides Hands-on Recordings Input dataset Workflows
Neoantigen 1a: Fusion-Database-Generation
Neoantigen 1b: Non-Reference-Database-Generation
Neoantigen 2: Database merge and FragPipe discovery
Neoantigen 3: PepQuery2 Verification
Neoantigen 4: Variant Annotation
Neoantigen 5a: Predicting HLA Binding
Neoantigen 5b: IEDB binding PepQuery Validated Neopeptides

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 logoMelanie Föll avatar Melanie Föllorcid logoSubina Mehta avatar Subina Mehtaorcid logoPratik Jagtap avatar Pratik Jagtaporcid logoBjörn Grüning avatar Björn Grüning

Are you on the editorial board or want to help out with this topic? View the topic maintainer page for ways to improve this topic!

Contributors

This material was contributed to by:

Emma Leith avatar Emma LeithDavid Christiany avatar David Christianyorcid logoHelge Hecht avatar Helge Hechtorcid logoTimothy J. Griffin avatar Timothy J. GriffinYves Vandenbrouck avatar Yves Vandenbrouckorcid logoNicola Soranzo avatar Nicola SoranzoFlorian Christoph Sigloch avatar Florian Christoph SiglochWilliam Durand avatar William Durandorcid logoSubina Mehta avatar Subina Mehtaorcid logoDelphine Lariviere avatar Delphine Lariviereorcid logoDaniel Blankenberg avatar Daniel BlankenbergMatthias Bernt avatar Matthias Berntorcid logoBérénice Batut avatar Bérénice BatutValentin Loux avatar Valentin LouxJames Johnson avatar James Johnsonorcid logoPavankumar Videm avatar Pavankumar VidemNiall Beard avatar Niall Beardorcid logoMelanie Föll avatar Melanie Föllorcid logoJayadev Joshi avatar Jayadev JoshiKatherine Do avatar Katherine DoFlorence Combes avatar Florence Combesorcid logoClemens Blank avatar Clemens BlankPraveen Kumar avatar Praveen KumarKlemens Fröhlich avatar Klemens FröhlichMarie Crane avatar Marie Craneorcid logoMartin Čech avatar Martin ČechDechen Bhuming avatar Dechen Bhumingorcid logoKristina Gomoryova avatar Kristina Gomoryovaorcid logoArmin Dadras avatar Armin Dadrasorcid logoMatthias Fahrner avatar Matthias Fahrnerorcid logoHelena Rasche avatar Helena Rascheorcid logoSaskia Hiltemann avatar Saskia Hiltemannorcid logoPratik Jagtap avatar Pratik JagtapAnton Nekrutenko avatar Anton Nekrutenkoorcid logoBjörn Grüning avatar Björn GrüningRay Sajulga avatar Ray SajulgaThorben Stehling avatar Thorben Stehling

Funding

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

References