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  4. Module 2: Generating cluster plots

Topic

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 hours

Learning objectives:

  • Interpret quality control plots to direct parameter decisions
  • Repeat analysis from matrix to clustering
  • Identify decision-making points
  • Appraise data outputs and decisions
  • Explain why single cell analysis is an iterative (i.e. the first plots you generate are not final, but rather you go back and re-analyse your data repeatedly) process
  • Interpret quality control plots to direct parameter decisions -Repeat analysis from matrix to clustering to labelling clusters
  • Identify decision-making points -Appraise data outputs and decisions -Explain why single cell analysis is an iterative process (i.e. the first plots you generate are not final, but rather you go back and re-analyse your data repeatedly)

Keywords

10x, paper-replication, MIGHTS

Owner

philreeddata (Phil Reed)
  • Materials (2)
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  • 1

    e-learning

    Filter, plot and explore single-cell RNA-seq data with Scanpy

    • beginner
    Transcriptomics MIGHTS Single Cell paper-replication
  • 2

    e-learning

    Filter, plot, and explore single cell RNA-seq data with Seurat

    • beginner
    MIGHTS Single Cell paper-replication
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TeSS has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 676559.