mergeBSJunctions {circRNAprofiler} | R Documentation

## Group circRNAs identified by multiple prediction tools

### Description

The function mergeBSJunctions() shrinks the data frame by grouping back-spliced junctions commonly identified by multiple detection tools. The read counts of the samples reported in the final data frame will be the ones of the tool that detected the highest total mean across all samples. All the tools that detected the back-spliced junctions are then listed in the column "tool" of the final data frame. See `getDetectionTools` for more detail about the code corresponding to each circRNA detection tool.

### Usage

    mergeBSJunctions(backSplicedJunctions, gtf, pathToExperiment = NULL,
      exportAntisense = FALSE)

### Arguments

`backSplicedJunctions` | A data frame containing back-spliced junction coordinates and counts generated with `getBackSplicedJunctions`.
`gtf` | A data frame containing genome annotation information, generated with `formatGTF`.
`pathToExperiment` | A string containing the path to the experiment.txt file. The file experiment.txt contains the experiment design information. It must have at least 3 columns with headers: - label (1st column): unique names of the samples (short but informative). - fileName (2nd column): name of the input files - e.g. circRNAs_X.txt, where x can be can be 001, 002 etc. - group (3rd column): biological conditions - e.g. A or B; healthy or diseased if you have only 2 conditions. By default pathToExperiment i set to NULL and the file it is searched in the working directory. If experiment.txt is located in a different directory then the path needs to be specified.
`exportAntisense` | A logical specifying whether to export the identified antisense circRNAs in a file named antisenseCircRNAs.txt. Default value is FALSE. A circRNA is defined antisense if the strand reported in the prediction results is different from the strand reported in the genome annotation file. The antisense circRNAs are removed from the returned data frame.

### Value

A data frame.

### Examples

    # Load detected back-soliced junctions
    data("backSplicedJunctions")

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

    pathToExperiment <- system.file("extdata", "experiment.txt",
        package ="circRNAprofiler")

    # Merge commonly identified circRNAs
    mergedBSJunctions <- mergeBSJunctions(backSplicedJunctions, gtf,
        pathToExperiment)

[Package circRNAprofiler version 1.1.0 Index]