plotLenBSEs {circRNAprofiler} | R Documentation

## Plot length back-spliced exons

### Description

The function plotLenBSEs() generates vertical boxplots for comparison of length of back-spliced exons (e.g. detected Vs randomly selected).

### Usage

    plotLenBSEs(annotatedFBSJs, annotatedBBSJs, df1Name = "foreground",
      df2Name = "background", title = "")

### Arguments

`annotatedFBSJs` | A data frame with the annotated back-spliced junctions (e.g. detected). It can be generated with `annotateBSJs`. These act as foreground back-spliced junctions.
`annotatedBBSJs` | A data frame with the annotated back-spliced junctions (e.g. randomly selected). It can generated with `annotateBSJs`. These act as background back-spliced junctions.
`df1Name` | A string specifying the name of the first data frame. This will be displayed in the legend of the plot.
`df2Name` | A string specifying the name of the first data frame. This will be displayed in the legend of the plot.
`title` | A character string specifying the title of the plot

### Value

A ggplot object.

### Examples

    # Load data frame containing detected back-spliced junctions
    data("mergedBSJunctions")

    # Load short version of the gencode v19 annotation file
    data("gtf")

    # Annotate the first 10 back-spliced junctions
    annotatedFBSJs <- annotateBSJs(mergedBSJunctions[1:10, ], gtf)

    # Get random back-spliced junctions
    randomBSJunctions <- getRandomBSJunctions(n = 10, f = 10, gtf)

    # Annotate random back-spliced junctions
    annotatedBBSJs <- annotateBSJs(randomBSJunctions, gtf, isRandom = TRUE)

    # Plot
    p <- plotLenBSEs(
        annotatedFBSJs,
        annotatedBBSJs,
        df1Name = "foreground",
        df2Name = "background",
        title = "")
    p

[Package circRNAprofiler version 1.0.0 Index]