Training materials
Difficulty level: Intermediate
and Contributors: Alejandra Delfin-Rossaro or Fabio Cumbo or Lieven Clement or Tharindu Senapathi or Veit Schwämmle
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hands-on tutorial
Supervised Learning with Hyperdimensional Computing
•• intermediateStatistics and probability Statistics and machine learning -
e-learning, Documentation
FAIRplus fellowship programme
•• intermediateFAIR data FAIRness Data management FAIRplus life-sciences -
hands-on tutorial
Analysis of molecular dynamics simulations
•• intermediateComputational chemistry -
hands-on tutorial
Running molecular dynamics simulations using NAMD
•• intermediateComputational chemistry -
PSLS22 Practical Statistics for the Life Sciences
•• intermediate -
Documentation, Exercise, Handout, Scripts
IBIP19 - Integrative Biological Interpretation using Proteomics (2019)
•• intermediateProteomics -
Documentation, Exercise, Handout, Scripts
PDA19 - Proteomics Data Analysis (2019)
•• intermediateProteomics Biological databases Mass spectrometry data -
Documentation, Exercise, Handout, Scripts
PDA18 - Proteomics Data Analysis (2018)
•• intermediateProteomics Biological databases Mass spectrometry data -
Documentation, Exercise, Handout, Scripts
PSLS20 - Practical Statistics for the Life Sciences (2020)
•• intermediateStatistics General Linear Models -
Bioinformatics Summer School 2019
•• intermediateProteomics RNA-Seq Omics Statistics and probability Data handling