Training materials
Resource type: hands-on tutorial
and Contributors: Branka Franicevic or Eva Freyhult or Mateusz Kuzak or Michael Krone or Mr. William Edward Hill or Prof. Tom Freeman or Wendi Bacon
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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
Scanpy Parameter Iterator
• beginnerSingle Cell -
hands-on tutorial
Inferring single cell trajectories with Monocle3 (R)
• beginner10x R Single Cell jupyter-notebook paper-replication rmarkdown-notebook -
hands-on tutorial
Removing the effects of the cell cycle
• beginner10x Single Cell -
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
Inferring single cell trajectories with Monocle3
• beginnerTranscriptomics 10x Single Cell paper-replication -
hands-on tutorial
Hands-on for 'Trajectory Analysis using Python (Jupyter Notebook) in Galaxy' tutorial
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hands-on tutorial
Pre-processing of 10X Single-Cell RNA Datasets
• beginnerTranscriptomics 10x Single Cell -
hands-on tutorial
Bulk RNA Deconvolution with MuSiC
• beginnerTranscriptomics Single Cell transcriptomics