Training materials
Difficulty level: Intermediate
and Keywords: RNA-Seq or Machine Learning or Population Genomics or Statistical-model or microbiome
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Bioinformatics, Computational Biology, Computer Science, Programming, Coding, Education, Data Science, Transcriptomics, Machine Learning
R for Data Science
•• intermediateBioinformatics Computational biology Machine learning Transcriptomics Computational Biology Coding Programming Data Science Data Analysis Computer Science Machine Learning -
hands-on tutorial
A tour of Machine Learning
•• intermediateMachine learning Classification Deep Learning Machine Learning -
hands-on tutorial
Hands-on for 'metaQuantome 3: Taxonomy' tutorial
•• intermediateProteomics proteomics microbiome -
hands-on tutorial
Hands-on for 'metaQuantome 2: Function' tutorial
•• intermediateProteomics proteomics microbiome -
hands-on tutorial
Hands-on for 'metaQuantome 1: Data creation' tutorial
•• intermediateProteomics proteomics microbiome -
Documentation, Exercise, Handout, Scripts
ADER19F - Analysis of Differential Expression with RNAseq (First course in 2019)
•• intermediateRNA-Seq Genomics RNA -
Documentation, Exercise, Handout, Scripts
PGDH19 - Population Genetics Demographic History: model-based approaches (2019)
•• intermediatePopulation Genomics Phylogenetics -
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 -
Documentation, Exercise, Handout, Scripts
PGDH18 - Population Genetics and Demographic History: model-based approaches (2018)
•• intermediatePopulation Genomics Phylogenetics
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