Training materials
Status: Active
and Scientific topics: Computer science or Machine learning or Phylogenetics or Structural biology or Toxicology or Virology
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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 -
Video, E-Learning
SPHN Dataset Template: Build an RDF schema from an Excel file
•• intermediateComputer science Data management FAIR data Medical informatics Semantic artifacts generation Automation Clinical data Semantic Framework FAIR RDF RDF graph generation Dataset template -
e-learning
ViralZone: Studying viral diversity
• beginnerVirology Genomics Molecular biology virology -
Video, E-learning
FAIRification of external terminologies
• beginnerComputer science Data management FAIR data Medical informatics Ontology and terminology Clinical data Semantic Framework FAIR Terminology Ontology Versioning of Terminology -
e-learning
Make sense of COVID-19 data
• beginnerVirology Data visualisation SARS-CoV-2 -
e-learning
Interpret phylogenetic data to track SARS-CoV-2 evolution
• beginnerVirology Phylogenetics SARS-CoV-2 -
e-learning
Use V-pipe to evaluate SARS-CoV-2 sequence variability
• beginnerVirology Sequence analysis SARS-CoV-2 Variant calling -
e-learning
Find out about SARS-CoV-2 glycobiology using GlyConnect
• beginnerVirology Protein sites, features and motifs SARS-CoV-2 -
e-learning
Retrieve and list information on SARS-CoV-2 from ViralZone
• beginnerVirology Molecular biology SARS-CoV-2 -
hands-on tutorial
A tour of Machine Learning
•• intermediateMachine learning Classification Deep Learning Machine Learning