plot_seq_depth_vs_lib_complexity: Sequencing depth vs. library complexity scatterplot

View source: R/rnaseq_workflow_qc.R

plot_seq_depth_vs_lib_complexityR Documentation

Sequencing depth vs. library complexity scatterplot

Description

Create a sequencing depth vs. unique read percentage scatterplot.

Usage

plot_seq_depth_vs_lib_complexity(
  data,
  point_size = 4,
  fill = "red4",
  alpha = 0.75,
  ids = NULL,
  invert = F
)

Arguments

data

A data frame with sequencing depth and unique read percentage data in the same format as fastqc returned by load_paired_end_qc_data.

point_size

A numeric. The size for data points.

fill

A string. The fill color for data points.

alpha

A numeric. The alpha level for data points.

ids

A vector of rownames for subsetting data for plotting.

invert

A logical. Should ids be used for excluding rows from plotting instead?

Value

A ggplot object.

See Also

load_paired_end_qc_data


bryancquach/omixjutsu documentation built on Jan. 29, 2023, 3:47 p.m.