Learning path topics
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Module 1: Preparing the dataset
This tutorial takes you from the large files containing raw scRNA sequencing reads to a smaller, combined cell matrix.
Time estimation: 3 hours
Learning objectives:
- Generate a cellxgene matrix for droplet-based single cell sequencing data
- Interpret quality control (QC) plots to...
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Module 2: Generating cluster plots
These tutorials take you from the pre-processed matrix to cluster plots and gene expression values. You can pick whether to follow the Scanpy or Seurat tutorials - they will accomplish the same thing and generate the same results, so follow whichever you prefer!
Time estimation: 6...
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Module 3: Inferring trajectories
This isn’t strictly necessary, but if you want to infer trajectories - pseudotime relationships between cells - you can try out these tutorials with the same dataset. Again, you get two options for inferring trajectories, and you can choose either.
Time estimation: 5 hours
Learning...