Training materials
Difficulty level: Intermediate
and Scientific topics: Data quality management or Genotype and phenotype or Machine learning or Proteomics
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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 -
Presentation
FAIRtracks and Omnipy – FAIRtracks interoperability story
•• intermediateData submission, annotation, and curation Data identity and mapping Data quality management Data governance Workflows Data handling -
hands-on tutorial
AlphaFold and friends on the HPC
•• intermediateProtein structure analysis Machine learning Structure prediction AlphaFold Database (13181) -
slides, R Shiny application
Proteomics Data Analysis (PDA)
•• intermediateProteomics proteomics quantitative proteomics -
hands-on tutorial
A tour of Machine Learning
•• intermediateMachine learning Classification Deep Learning Machine Learning -
Slideshow, Training materials
Prediction of protein structures and complexes with AlphaFold on the HPC
•• intermediateProtein structure analysis Machine learning Structure prediction Structure visualisation Multiple sequence alignment AlphaFold Database (13181) -
hands-on tutorial
Hands-on for 'metaQuantome 3: Taxonomy' tutorial
•• intermediateProteomics proteomics microbiome -
hands-on tutorial
Hands-on for 'Secretome Prediction' tutorial
•• intermediateProteomics proteomics human -
hands-on tutorial
Hands-on for 'Proteogenomics 1: Database Creation' tutorial
•• intermediateProteomics proteomics proteogenomics -
hands-on tutorial
Hands-on for 'Peptide Library Data Analysis' tutorial
•• intermediateProteomics proteomics