Workflows and Practicals for Mass spectrometry and proteomics using R/Bioconductor

Table of content

• Brief intro on how MS works
• Raw MS data (linked to the how MS works section)
• MS quantitation: MS1 vs MS2, label-free vs labelled
• Peptide identification and protein inference
• Proteomics data processing overview
• Some packages of interest

Courses

Material used as part of the various courses:

• Lecture slides (http://bit.ly/20190725csama) and lab for the CSAMA 2019 course.
• Slides and lab from the Bioinformatics Summer School 2019 (UCLouvain).
• Intro slides are available here (from CSAMA 2018).
• Read the full lab online.

Questions and comments

Thank you for your interest

• If you have any general questions about using Bioconductor software for mass spectrometry and proteomics data analysis, please use the Bioconductor support form.

• For questions about this repo of some material here, please open an issue.

Citation

Gatto, Laurent. (2019, January). Bioconductor tools for mass spectrometry and proteomics. Zenodo. http://doi.org/10.5281/zenodo.2547971

License

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