Training materials
Difficulty level: Intermediate
and Resource type: hackathon or Exercise or Machine Learning
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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 -
Documentation, Exercise, Handout, Scripts
IBIP19 - Integrative Biological Interpretation using Proteomics (2019)
•• intermediateProteomics -
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
PGDH19 - Population Genetics Demographic History: model-based approaches (2019)
•• intermediatePopulation Genomics Phylogenetics -
Documentation, Exercise, Handout, Scripts
PDA19 - Proteomics Data Analysis (2019)
•• intermediateProteomics Biological databases Mass spectrometry data -
Documentation, Exercise, Handout, Scripts
ADER18S - Analysis of Differential Expression with RNAseq (Second course in 2018)
•• intermediateRNA-Seq Genomics RNA -
Documentation, Exercise, Handout, Scripts
CPANG18 - Computational PANGenomics (2018)
•• intermediateGenomics -
Documentation, Exercise, Handout, Scripts
PDA18 - Proteomics Data Analysis (2018)
•• intermediateProteomics Biological databases Mass spectrometry data -
Documentation, Exercise, Handout, Scripts
ADER18F - Analysis of Differential Expression with RNAseq (First course in 2018)
•• intermediateRNA-Seq Genomics RNA
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