Training materials
Contributors: Gautier Sarah or David Philip Judge or Hélène Chiapello or Alireza Khanteymoori
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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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hands-on tutorial
Hands-on for 'Introduction to deep learning' tutorial
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Slides
FAIR data - Module 4 (share and publish data)
• beginnerBioinformatics Biology Data management data sharing Data publishing legal framework data warehouse licensing data reuse -
Slides
FAIR data - Module 3 (Metadata)
• beginnerBioinformatics Biology Data management Data handling metadata data annotation life science standards data sharing -
Slides
FAIR data - Module 1 (research data)
• beginnermetadata Data Life Cycle Reproducibility Data management plan -
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
ELB19F - Entry level Bioinformatics (First course in 2019)
• beginnerBioinformatics Sequencing
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