Training materials
Contributors: Federico Bianchini or Alireza Khanteymoori or Cyril Monjeaud or Daniel Sobral or Mikko Rautiainen
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hands-on tutorial
Hands-on for 'Contributing with GitHub via command-line' tutorial
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hands-on tutorial
Hands-on for 'Classification in Machine Learning' tutorial
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hands-on tutorial
Hands-on for 'Regression in Machine Learning' tutorial
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hands-on tutorial
Hands-on for 'Clustering in Machine Learning' tutorial
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slides
Slides for 'Prerequisites for building software/conda packages' tutorial
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slides
Slides for 'Contributing with GitHub via command-line' tutorial
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hands-on tutorial
Hands-on for 'Introduction to deep learning' tutorial
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Documentation, Exercise, Handout, Scripts
CPANG19 - Computational PANGenomics (2019)
•• intermediateGenomics -
Documentation, Exercise, Handout, Scripts
ADER19F - Analysis of Differential Expression with RNAseq (First course in 2019)
•• intermediateRNA-Seq Genomics RNA -
Documentation, Exercise, Handout, Scripts
ELB19F - Entry level Bioinformatics (First course in 2019)
• beginnerBioinformatics Sequencing
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