Training materials
Scientific topics: MS-based targeted proteomics or Probabilistic graphical model
and Authors: @posit-pbc or András Aszódi or Melanie Föll or Samaha, Georgina (orcid: 0000-0003-0419-1476) or erasche or posit-conf-2023 or stortebecker
-
slides
Introduction to proteomics, protein identification, quantification and statistical modelling
• beginnerProteomics -
wesm/pydata-book
-
posit-conf-2023/forecasting
-
hands-on tutorial
MaxQuant and MSstats for the analysis of TMT data
• beginnerProteomics DDA TMT -
hands-on tutorial
Library Generation for DIA Analysis
•• intermediateProteomics DIA -
hands-on tutorial
DIA Analysis using OpenSwathWorkflow
•• intermediateProteomics DIA -
hands-on tutorial
Statistical analysis of DIA data
•• intermediateProteomics DIA -
hands-on tutorial
Label-free data analysis using MaxQuant
• beginnerProteomics DDA label-free -
hands-on tutorial
MaxQuant and MSstats for the analysis of label-free data
•• intermediateProteomics label-free -
hands-on tutorial
Mass spectrometry imaging: Loading and exploring MSI data
• beginnerProteomics imaging mouse
- 1
- 2