Training materials
Difficulty level: Intermediate
and Contributors: Alvaro Gonzalez or Daniel Blankenberg or David Bouyssié or Fotis E. Psomopoulos or Thomas Denecker or Vitor Sousa
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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 -
Video
A common framework for designing portable federated pipelines
•• intermediateData architecture, analysis and design data access federated data analysis -
Documentation, Exercise, Handout, Scripts
IBIP19 - Integrative Biological Interpretation using Proteomics (2019)
•• intermediateProteomics -
Documentation, Exercise, Handout, Scripts
PGDH19 - Population Genetics Demographic History: model-based approaches (2019)
•• intermediatePopulation Genomics Phylogenetics -
Documentation, Exercise, Handout, Scripts
PGDH18 - Population Genetics and Demographic History: model-based approaches (2018)
•• intermediatePopulation Genomics Phylogenetics