Training materials
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Deep Learning for Life Sciences - fundamentals and applications
• beginnertraining data mining machine learning programming artificial intelligence prediction -
Introduction to Statistics with Python
• beginnerprogramming biostatistics torsten schwede & thierry sengstag group -
UNIX Shell Scripting in Life Sciences
•• intermediateprogramming training mark ibberson group -
Best Practices in Programming
•• intermediateprogramming reproducibility bernd rinn group -
First Steps with SQL for Data Science
• beginnerSQL programming -
First Steps with Python in Life Sciences
• beginnerdata management data visualisation programming reproducibility training torsten schwede & thierry sengstag group mark ibberson group -
e-learning
Peptide and Protein Quantification via Stable Isotope Labelling (SIL)
••• advancedProteomics DDA SILAC -
e-learning
MaxQuant and MSstats for the analysis of TMT data
• beginnerProteomics DDA TMT -
e-learning
Annotating a protein list identified by LC-MS/MS experiments
• beginnerProteomics DDA human -
e-learning
Label-free versus Labelled - How to Choose Your Quantitation Method
• beginnerProteomics DDA