IBIP22 – Integrative Biological Interpretation using Proteomics 2022
Quantitative proteomics by mass spectrometry has become an essential tool for multi-omics studies aiming at answering important biological questions from a system-wide perspective. Proteomics data contain rich and deep information that can become challenging to extract, interpret, and interface with other experimental outcomes.
This training course is aimed at researchers who are not experts in proteomics and want to integrate quantitative proteomics results into wider biomedical experiments. We will focus on quality control from an end-user perspective, link to the underlying genomic context, multivariate analysis, protein complexes investigation, and compare different platforms for biological interpretation.
After the training, participants will be able to critically interpret results, troubleshoot analyses, and will be ready to successfully attend more specialized training e.g. in proteogenomics or biological network analysis.
Veit Schwämmle, University of Southern Denmark, Odense, DK
Marc Vaudel, University of Bergen, Bergen, NO
Nadezhda Doncheva, NNF Center for Protein Research, University of Copenhagen, Copenhagen, DK
Biologists, bioinformaticians, and life sciences researchers, especially those researchers who are not experts in proteomics and want to integrate quantitative proteomics results into wider biomedical experiments.
Strictly speaking, there are no pre-requisites. Prior knowledge that will be useful, but not required:
- Acquaintance with bottom-up proteomics workflow (sample preparation, LC-MS, terminology)
- Basics of quantitative proteomics (labelling vs. label-free, bioinformatics methods to infer peptide and protein abundance)
- Awareness of protein inference issues in proteomics identification and quantification
- Basics of scripting in R or Python.
Deadline for applications: June 15th 2022
Course date: June 20th - June 24th 2022
More information about this course is available at http://gtpb.igc.gulbenkian.pt/bicourses/2022/IBIP22/
IGC - Instituto Gulbenkian de Ciência
Rua da Quinta Grande, 6