Training materials
Difficulty level: Intermediate
and Contributors: Björn Grüning or Daniel Blankenberg or Fotis E. Psomopoulos or Mark Beaumont or Simon Gladman
-
hands-on tutorial
Hands-on for 'M. tuberculosis Variant Analysis' tutorial
•• intermediateGenetic variation variant-analysis prokaryote one-health -
hands-on tutorial
Hands-on for 'Introduction to Machine Learning using R' tutorial
•• intermediateStatistics and probability statistics interactive-tools -
hands-on tutorial
Hands-on for 'Secretome Prediction' tutorial
•• intermediateProteomics proteomics human -
hands-on tutorial
Hands-on for 'Peptide Library Data Analysis' tutorial
•• intermediateProteomics proteomics -
hands-on tutorial
Hands-on for 'Machine Learning Modeling of Anticancer Peptides' tutorial
•• intermediateProteomics proteomics ML cancer -
hands-on tutorial
Hands-on for 'Detection and quantitation of N-termini (degradomics) via N-TAILS' tutorial
•• intermediateProteomics proteomics -
hands-on tutorial
Hands-on for 'Plotting in Python' tutorial
•• intermediateSoftware engineering data-science jupyter-notebook -
hands-on tutorial
Hands-on for 'Advanced R in Galaxy' tutorial
•• intermediateSoftware engineering data-science R -
hands-on tutorial
Hands-on for 'Advanced Python' tutorial
•• intermediateSoftware engineering data-science jupyter-notebook -
slides
Slides for 'Deeper look into Genome Assembly algorithms' tutorial
•• intermediateSequence assembly assembly
- 1
- 2