Training materials
Difficulty level: Intermediate
and Contributors: Alejandra Delfin-Rossaro or Alvaro Gonzalez or Daniel Blankenberg or Fotis E. Psomopoulos or Nadia Goué or Thomas Denecker
-
e-learning, Documentation
FAIRplus fellowship programme
•• intermediateFAIR data FAIRness Data management FAIRplus life-sciences -
hands-on tutorial
Hands-on for 'Introduction to Machine Learning using R' tutorial
•• intermediatestatistics interactive-tools -
hands-on tutorial
Peptide Library Data Analysis
•• intermediateProteomics -
hands-on tutorial
Hands-on for 'Machine Learning Modeling of Anticancer Peptides' tutorial
•• intermediateproteomics ML cancer -
hands-on tutorial
Hands-on for 'Plotting in Python' tutorial
•• intermediatedata-science jupyter-notebook -
hands-on tutorial
Hands-on for 'Advanced R in Galaxy' tutorial
•• intermediatedata-science R -
hands-on tutorial
Hands-on for 'Advanced Python' tutorial
•• intermediatedata-science jupyter-notebook -
hands-on tutorial
Analysis of molecular dynamics simulations
•• intermediateComputational chemistry -
hands-on tutorial
Setting up molecular systems
•• intermediateComputational chemistry -
Video
A common framework for designing portable federated pipelines
•• intermediateData architecture, analysis and design data access federated data analysis