- 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
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).
- CSAME 2018 course: Intro slides are available here (from CSAMA 2018). Read the full lab online.
- Exploring, visualising and analysing proteomics data in R, 24 Jan 2019, Cambridge, UK
Thank you for your interest
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If you have any general questions about using Bioconductor software for mass spectrometry and proteomics data analysis, please use the Bioconductor support form.
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For questions about this repo of some material here, please open an issue.
Gatto, Laurent. (2019, January). Bioconductor tools for mass spectrometry and proteomics. Zenodo. http://doi.org/10.5281/zenodo.2547971
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