Training materials
Difficulty level: Intermediate
and Scientific topics: Database management or Proteomics 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 -
slides, R Shiny application
Proteomics Data Analysis (PDA)
•• intermediateProteomics proteomics quantitative proteomics -
hands-on tutorial
Hands-on for 'Visualization of RNA-Seq results with Volcano Plot in R' tutorial
•• intermediateTranscriptomics transcriptomics interactive-tools -
hands-on tutorial
Hands-on for 'metaQuantome 3: Taxonomy' tutorial
•• intermediateProteomics proteomics microbiome -
hands-on tutorial
Hands-on for 'Secretome Prediction' tutorial
•• intermediateProteomics proteomics human -
hands-on tutorial
Hands-on for 'Proteogenomics 1: Database Creation' tutorial
•• intermediateProteomics proteomics proteogenomics -
hands-on tutorial
Hands-on for 'Peptide Library Data Analysis' tutorial
•• intermediateProteomics proteomics -
hands-on tutorial
Hands-on for 'Proteogenomics 2: Database Search' tutorial
•• intermediateProteomics proteomics proteogenomics -
hands-on tutorial
Hands-on for 'metaQuantome 2: Function' tutorial
•• intermediateProteomics proteomics microbiome