Training material for proteomics workflows in Galaxy


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


Lesson Slides Hands-on Input dataset Workflows Galaxy tour Galaxy instances
Detection and quantitation of N-termini (degradomics) via N-TAILS tutorial workflow interactive_tour
Label-free versus Labelled - How to Choose Your Quantitation Method tutorial workflow interactive_tour
Metaproteomics tutorial tutorial zenodo_link workflow
Peptide and Protein ID using OpenMS tools tutorial zenodo_link workflow interactive_tour
Peptide and Protein ID using SearchGUI and PeptideShaker tutorial zenodo_link workflow interactive_tour
Peptide and Protein Quantification via Stable Isotope Labelling (SIL) tutorial zenodo_link workflow interactive_tour
Protein FASTA Database Handling tutorial workflow interactive_tour
Secretome Prediction tutorial zenodo_link workflow interactive_tour

Galaxy instances

You can use a public Galaxy instance which has been tested for the availability of the used tools. They are listed along with the tutorials above.

You can also use the following Docker image for these tutorials:

docker run -d -p 8080:80

It will launch a flavored Galaxy instance available on http://localhost:8080.


This material is maintained by:

For any question related to this topic and the content, you can contact them or visit our Gitter channel.


This material was contributed to by: