Training materials
Difficulty level: Intermediate
and Scientific topics: ChIP-seq or Data submission, annotation, and curation or Database management or Gene expression and microarray or Mathematics 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 '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 -
Tutorial
Adding nanomaterial data
•• intermediateToxicology Database management ontologies enanomapper RDF