Training materials
Difficulty level: Intermediate
and Scientific topics: Data quality management or Drug discovery or Genetic variation or Machine learning or Phylogenetics or Rare diseases
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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) -
hands-on tutorial
A tour of Machine Learning
•• intermediateMachine learning Classification Deep Learning Machine Learning -
hands-on tutorial
Hands-on for 'Avian influenza viral strain analysis from gene segment sequencing data' tutorial
•• intermediatevariant-analysis virology -
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 'Mutation calling, viral genome reconstruction and lineage/clade assignment from SARS-CoV-2 sequencing data' tutorial
•• intermediatevariant-analysis covid19 virology one-health -
hands-on tutorial
Hands-on for 'M. tuberculosis Variant Analysis' tutorial
•• intermediatevariant-analysis prokaryote one-health -
e-learning
EJP RD MOOC "Diagnosing Rare Diseases: from the Clinic to Research and back"
•• intermediateRare diseases Rare Diseases & Research -
Webinar, e-learning
Webinars from the European Reference Network in Rare Hematological Diseases (EuroBloodNet)
•• intermediateRare diseases Rare Diseases & Research