Training materials
Difficulty level: Intermediate
and Contributors: Armin Fuchs or Björn Grüning or Daniel Sobral or Emily Angiolini or Fotis E. Psomopoulos or Nicola Mulder or Prof. Tom Freeman
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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 '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 -
Documentation, Exercise, Handout, Scripts
ADER19F - Analysis of Differential Expression with RNAseq (First course in 2019)
•• intermediateRNA-Seq Genomics RNA -
Documentation, Exercise, Handout, Scripts
ADER18S - Analysis of Differential Expression with RNAseq (Second course in 2018)
•• intermediateRNA-Seq Genomics RNA -
Documentation, Exercise, Handout, Scripts
ADER18F - Analysis of Differential Expression with RNAseq (First course in 2018)
•• intermediateRNA-Seq Genomics RNA