makeVennDiagram {ChIPpeakAnno} | R Documentation

## Make Venn Diagram from a list of peaks

### Description

Make Venn Diagram from two or more peak ranges, Also calculate p-value to determine whether those peaks overlap significantly.

### Usage

    makeVennDiagram(Peaks, NameOfPeaks, maxgap = -1L, minoverlap = 0L,
                     totalTest, by = c("region", "feature", "base"),
                     ignore.strand = TRUE, connectedPeaks = c("min",
                     "merge", "keepAll"), method = c("hyperG",
                     "permutation"), TxDb, ...)

### Arguments

`Peaks` | A list of peaks in GRanges format: See example below.
`NameOfPeaks` | Character vector to specify the name of Peaks, e.g., c("TF1", "TF2"). This will be used as label in the Venn Diagram.
`maxgap,minoverlap` | Used in the internal call to `findOverlaps()` to detect overlaps. See `?findOverlaps` in the IRanges package for a description of these arguments.
`totalTest` | Numeric value to specify the total number of tests performed to obtain the list of peaks. It should be much larger than the number of peaks in the largest peak set.
`by` | "region, "feature" or "base", default = "region". feature means using feature field in the GRanges for calculating overlap, region means using chromosome range for calculating overlap, and base means calculating overlap in nucleotide level.
`ignore.strand` | Logical: when set to TRUE, the strand information is ignored in the overlap calculations.
`connectedPeaks` | If multiple peaks involved in overlapping in several groups, set it to "merge" will count it as only 1, while set it to "min" will count it as the minimal involved peaks in any connected peak group.
`method` | method used for p value calculation. hyperG means hypergeometric test and permutation means peakPermTest
`TxDb` | An object of TxDb
`...` | Additional arguments to be passed to venn.diagram

### Details

For customized graph options, please see venn.diagram in VennDiagram package.

### Value

In addition to a Venn Diagram produced, a p.value is calculated by hypergeometric test to determine whether the peaks or features are overlapped significantly.

### Author(s)

Lihua Julie Zhu, Jianhong Ou

### See Also

findOverlapsOfPeaks, venn.diagram, peakPermTest

### Examples

    if (interactive()){
        peaks1 <- GRanges(seqnames=c("1", "2", "3"),
                          IRanges(start=c(967654, 2010897, 2496704),
                                  end=c(967754, 2010997, 2496804),
                                  names=c("Site1", "Site2", "Site3")),
                          strand="+",
                          feature=c("a","b","f"))
        peaks2 = GRanges(seqnames=c("1", "2", "3", "1", "2"),
                            IRanges(start = c(967659, 2010898,2496700,
                                              3075866,3123260),
                                    end = c(967869, 2011108, 2496920,
                                            3076166, 3123470),
                                    names = c("t1", "t2", "t3", "t4", "t5")),
                            strand = c("+", "+", "-", "-", "+"),
                            feature=c("a","b","c","d","a"))
        makeVennDiagram(list(peaks1, peaks2), NameOfPeaks=c("TF1", "TF2"),
                        totalTest=100,scaled=FALSE, euler.d=FALSE)

        makeVennDiagram(list(peaks1, peaks2), NameOfPeaks=c("TF1", "TF2"),
                        totalTest=100)

        ###### 4-way diagram using annotated feature instead of chromosome ranges

        makeVennDiagram(list(peaks1, peaks2, peaks1, peaks2),
                        NameOfPeaks=c("TF1", "TF2","TF3", "TF4"),
                        totalTest=100, by="feature",
                        main = "Venn Diagram for 4 peak lists",
                        fill=c(1,2,3,4))
    }

[Package ChIPpeakAnno version 3.12.7 Index]