Peptide and Protein Identification using MS/MS Data on the Galaxy-P platform
1. Summary
Bottom-up proteomics is a technique for studying proteins that involves digesting proteins to fragment peptides prior to identification using mass spectrometry. Masses of digested peptides are compared with those predicted from a sequence database to identify peptides. Proteins are then identified by analyzing peptides present in the sample. This two-part module will be an introduction to peptide and protein identification using MS/MS data on the Galaxy-P platform. Galaxy-P is an extension of Galaxy , a platform developed to enable reproducible data intensive research by providing complex computational software that often requires advanced computer skills via a web-interface. Part one of the module will be a brief introduction to the Galaxy framework. Part two of the module will be an overview of peptide and protein identification using MS/MS data.
2. Presentation Materials
Click here.
3. Hands-on Exercise(s)
Click here.
4. Associated Materials/Files
Mo_Tai_Trimmed_mgfs__Mo_Tai_iTRAQ_f9.mgf
Protein_Database_uniprot.fasta
5. Program/Software requirements
Java JRE: https://www.java.com/en/download/
SearchGui: http://compomics.github.io/projects/searchgui.html
PeptideShaker: http://compomics.github.io/projects/peptide-shaker.html
6. Advanced Material
https://galaxyproject.org/learn/
https://compomics.com/bioinformatics-for-proteomics/identification/
https://compomics.com/bioinformatics-for-proteomics/quantification/
7. Instructor Notes
These materials will be uploaded later.