plot_barcode_qc: QC plot of UMI rank vs total number of UMIs per barcode

In keshav-motwani/scanalysis: Multi-Sample Visualization and Immune Repertoire Analysis Utilities for Single-Cell Data

Description

QC plot of UMI rank vs total number of UMIs per barcode

Usage

plot_barcode_qc(
  sce_list,
  ambient_rna_filters,
  color = "empty_drops",
  shape = NULL,
  facet_rows = NULL,
  facet_columns = NULL,
  facet_type = "grid",
  point_size = 1,
  text_size = 2,
  alpha = 0.5,
  ...
)

Arguments

sce_list	list of SingleCellExperiment objects
ambient_rna_filters	list of results from filter_ambient_rna function, one for each SCE object in sce_list - must be the same names and order
color	column from colData that is in all objects in sce_list
shape	column from colData that is in all objects in sce_list
facet_rows	columns to facet on
facet_columns	columns to facet on
facet_type	either "wrap" or "grid", same as ggplot
text_size	font size for annotations
...	other params passed into either facet_wrap or facet_grid, depending on facet_type parameter

Value

ggplot with plot of UMI rank vs total number of UMIs per barcode

Examples

NULL

keshav-motwani/scanalysis documentation built on Feb. 4, 2021, 2:21 a.m.