topSeqsPlot: Cumulative frequency bar plot of top sequences

In shashidhar22/LymphoSeq2: Analyze high-throughput sequencing of T and B cell receptors

Cumulative frequency bar plot of top sequences

Description

Create a cumulative frequency bar plot of a specified number of top sequences.

Usage

topSeqsPlot(study_table, top = 10)

Arguments

study_table	A study tibble imported using the LymphoSeq2 function readImmunoSeq() or productiveSeq()
top	The number of top sequences to be colored in the bar plot. All other, less frequent sequences are colored violet.

Details

The plot is made using the package ggplot2 and can be reformatted using ggplot2 functions. See examples below.

Value

Returns a cumulative frequency bar plot of the top sequences.

See Also

An excellent resource for examples on how to reformat a ggplot can be found in the R Graphics Cookbook online (http://www.cookbook-r.com/Graphs/).

Examples

file_path <- system.file("extdata", "TCRB_sequencing",
 package = "LymphoSeq2")
study_table <- LymphoSeq2::readImmunoSeq(path = file_path, threads = 1)
amino_table <- LymphoSeq2::productiveSeq(study_table = study_table,
 aggregate = "junction_aa")
LymphoSeq2::topSeqsPlot(study_table = amino_table, top = 10)
# Display the number of sequences at the top of bar plot and add a title
n <- as.character(nrow(study_table))
LymphoSeq2::topSeqsPlot(study_table = amino_table, top = 10) +
  ggplot2::annotate("text", x = 1:length(n), y = 105, label = n,
    color = "black") +
  ggplot2::expand_limits(y = c(0, 110)) + ggplot2::ggtitle("Top sequences") +
  ggplot2::scale_x_discrete(limits = names(n))

shashidhar22/LymphoSeq2 documentation built on Jan. 16, 2024, 4:29 a.m.