Training materials
Difficulty level: Intermediate
and Contributors: Alex Mahmoud or Björn Grüning or Celia van Gelder or Daniel Blankenberg or Dr. Manuel Corpas or Hélène Chiapello or Jamie Edwards or Jordi Rambla or Manimozhiyan Arumugam or Marek Vrbacky or Mikko Rautiainen or Nils Peder Willassen
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hands-on tutorial
Hands-on for 'Secretome Prediction' tutorial
•• intermediateproteomics human -
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
Detection and quantitation of N-termini (degradomics) via N-TAILS
•• intermediateProteomics -
hands-on tutorial
Hands-on for 'Managing Galaxy on Kubernetes' tutorial
•• intermediateadmin kubernetes -
hands-on tutorial
Hands-on for 'Galaxy Installation on Kubernetes' tutorial
•• intermediateadmin kubernetes -
IFB Shiny training
•• intermediateR-programming Reproducible Science -
Training materials
FAIR principles applied to bioinformatics
•• intermediateFAIR Reproducible Science Open science Data analysis Data processing -
Documentation, Exercise, Handout, Scripts
CPANG19 - Computational PANGenomics (2019)
•• intermediateGenomics -
Documentation, Exercise, Handout, Scripts
CPANG18 - Computational PANGenomics (2018)
•• intermediateGenomics
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