Training materials
Difficulty level: Intermediate
and Scientific topics: Data governance or Data security or Genetic variation or Sample collections or Transcriptomics
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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
Bulk RNASeq analysis
•• intermediateTranscriptomics Gene expression Differential gene expression profiling Expression analysis Data analysis NGS RNASeq transcriptomics -
hands-on tutorial
Hands-on for 'Avian influenza viral strain analysis from gene segment sequencing data' tutorial
•• intermediatevariant-analysis virology -
Slides, course materials, hands-on tutorial
Organisation and utilisation of hologenomic datasets – course notes
•• intermediateMetatranscriptomics Sample collections Metabolomics Metagenomics hologenomics metagenomics MGnify Workshop -
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 -
hands-on tutorial
Hands-on for 'Visualization of RNA-Seq results with Volcano Plot in R' tutorial
•• intermediatetranscriptomics interactive-tools -
slides
An introduction to scRNA-seq data analysis
•• intermediateTranscriptomics Single Cell -
Implementing GDPR in a Biomedical Research Institute
•• intermediateData governance Data management GDPR data protection sensitive data