Training materials
Keywords: DDA or R or deconvolution
and Target audience: Biologists or Students or postgrad or project manager
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hands-on tutorial
Filter, plot, and explore single cell RNA-seq data with Seurat (R)
• beginner10x R Single Cell jupyter-notebook paper-replication rmarkdown-notebook -
hands-on tutorial
Data visualisation Olympics - Visualization in R
• beginnerSoftware engineering Foundations of Data Science R cyoa jupyter-notebook rmarkdown-notebook -
lessons
Visualisation with RStudio
• beginnerData visualisation Data Visualization R RStudio ggplot2 -
hands-on tutorial
Inferring single cell trajectories with Monocle3 (R)
• beginner10x R Single Cell jupyter-notebook paper-replication rmarkdown-notebook -
hands-on tutorial
Hands-on for 'Creating the bulk RNA-seq dataset for deconvolution' tutorial
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hands-on tutorial
Hands-on for 'Creating the single-cell RNA-seq reference dataset for deconvolution' tutorial
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hands-on tutorial
Biomarker candidate identification
• beginnerProteomics DDA human -
hands-on tutorial
Annotating a protein list identified by LC-MS/MS experiments
• beginnerProteomics DDA human -
hands-on tutorial
MaxQuant and MSstats for the analysis of TMT data
• beginnerProteomics DDA TMT -
hands-on tutorial
Label-free versus Labelled - How to Choose Your Quantitation Method
• beginnerProteomics DDA
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