Training materials
Target audience: Students or policy officer
and Authors: Daniel Blankenberg or Manuel Corpas or Matthias Fahrner or Melanie Föll or Nadia Tonello or nekrut
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slides
Introduction to proteomics, protein identification, quantification and statistical modelling
• beginnerProteomics -
hands-on tutorial
From NCBI's Sequence Read Archive (SRA) to Galaxy: SARS-CoV-2 variant analysis
• beginnerGenetic variation Variant Analysis covid19 one-health virology -
hands-on tutorial
Pre-processing of 10X Single-Cell RNA Datasets
• beginnerTranscriptomics 10x Single Cell -
hands-on tutorial
Hands-on for 'PAPAA PI3K_OG: PanCancer Aberrant Pathway Activity Analysis' tutorial
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hands-on tutorial
Text-mining with the SimText toolset
• beginnerStatistics and probability Statistics and machine learning interactive-tools -
hands-on tutorial
MaxQuant and MSstats for the analysis of TMT data
• beginnerProteomics DDA TMT -
hands-on tutorial
Peptide Library Data Analysis
•• intermediateProteomics -
hands-on tutorial
Peptide and Protein Quantification via Stable Isotope Labelling (SIL)
••• advancedProteomics DDA SILAC -
hands-on tutorial
Library Generation for DIA Analysis
•• intermediateProteomics DIA -
hands-on tutorial
DIA Analysis using OpenSwathWorkflow
•• intermediateProteomics DIA