From b398b9f42bac3a99f8b3062bd201501b757f7c20 Mon Sep 17 00:00:00 2001 From: Frederick Tan Date: Fri, 1 Nov 2024 11:56:59 -0400 Subject: [PATCH] Specify plotColData to plot percent mitochondrial reads --- assignments/lab/scrnaseq-bioconductor/assignment/index.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/assignments/lab/scrnaseq-bioconductor/assignment/index.md b/assignments/lab/scrnaseq-bioconductor/assignment/index.md index dc7dc36..4722607 100644 --- a/assignments/lab/scrnaseq-bioconductor/assignment/index.md +++ b/assignments/lab/scrnaseq-bioconductor/assignment/index.md @@ -103,7 +103,7 @@ Sum the expression of all mitochondrial genes across each cell **Question 5**: Visualize percent of reads from mitochondria (1 pt) -- Plot the `subsets_Mito_percent` on the y-axis against the `broad_annotation` on the x-axis rotating the x-axis labels using `theme( axis.text.x=element_text( angle=90 ) )` and **submit this plot** +- Use `plotColData()` to plot the `subsets_Mito_percent` on the y-axis against the `broad_annotation` on the x-axis rotating the x-axis labels using `theme( axis.text.x=element_text( angle=90 ) )` and **submit this plot** - Which cell types may have a higher percentage of mitochondrial reads? Why might this be the case? ### 3. Identify marker genes