Training materials
Difficulty level: Intermediate
and Scientific topics: Electron microscopy or Genetic variation or Toxicology 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 -
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
•• intermediateGenetic variation variant-analysis virology -
hands-on tutorial
Hands-on for 'Mutation calling, viral genome reconstruction and lineage/clade assignment from SARS-CoV-2 sequencing data' tutorial
•• intermediateGenetic variation variant-analysis covid19 virology one-health -
hands-on tutorial
Hands-on for 'M. tuberculosis Variant Analysis' tutorial
•• intermediateGenetic variation variant-analysis prokaryote one-health -
hands-on tutorial
Hands-on for 'Visualization of RNA-Seq results with Volcano Plot in R' tutorial
•• intermediateTranscriptomics transcriptomics interactive-tools -
slides
Slides for 'An introduction to scRNA-seq data analysis' tutorial
•• intermediateTranscriptomics single-cell español -
Tutorial
Adding nanomaterial data
•• intermediateToxicology Database management ontologies enanomapper RDF