Training materials
Difficulty level: Intermediate
and Scientific topics: Data identity and mapping or Ensembl learning or Expression analysis or Genetic variation or Microbiology or Toxicology
-
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 -
Tutorial
Adding nanomaterial data
•• intermediateToxicology Database management ontologies enanomapper RDF -
Video
Deep Learning using a Convolutional Neural Network
•• intermediateMachine learning
- 1
- 2