plotStackedOverview {ggbio} | R Documentation

## Plot stacked overview

### Description

Plot stacked overview for genome with or without cytobands. It's a wrapper around `layout_karyogram`.

### Usage

    plotStackedOverview(obj, ..., xlab, ylab, main, geom = "rect",
                             cytobands = FALSE, rescale = TRUE,
                             rescale.range = c(0, 10))
    plotKaryogram(obj, ..., xlab, ylab, main, geom = "rect",
                             cytobands = FALSE, rescale = TRUE,
                             rescale.range = c(0, 10))

### Arguments

`obj` | a `GRanges` object, which could contain extra information about cytobands. If it's missing, will ask user to provide species information and download proper data set from UCSC. If you want an accurate genome mapping, please provide `seqlengths` with this `GRanges` object,otherwise it will emit a warning and use data space to estimate the chromosome space which is very rough.
`...` | arguments passed to graphic functions to control aesthetics. For example, if you use geom "point", you need to provide "y" in `aes()`, and if can also pass `color, fill, size` etc. to control graphics.
`xlab` | label for x
`ylab` | label for y
`main` | title for plot.
`geom` | geom plotted on the stacked layout. Default is "rect", which showing interval data as rectangles. It automatically figures out boundary so you don't have to provide information in `aes`, users could specify other supported geom works for `data.frame`.
`cytobands` | logical value. Default is `FALSE`. If `TRUE`, plotting cytobands, this require your data have arbitrary column as `name` and `gieStain`. the easiest way is to use `getIdeogram` to get your data. Notice for this function, when cytobands is `TRUE`, it will only plot cytobands without overlaying your data. If you really need to overlay extra data on cytobands, please plus `layout_karyogram` for that purpose.
`rescale` | logical value. Default is `TRUE`, which rescale your data into the `rescale.range`, this make sure your data will not be plotted outside the stacked overview box.
`rescale.range` | Numeric range of length 2. Default is (0, 10), because stacked layout draws a white background as chromosome space and this space is of height 10. We hide the y-axis since we don't need it for stacked overview. Sometime users may want to leave some margin for their data, they can use this arguments to control the rescale.

### Details

Stacked overview is just a arbitrary layout for karyogram layout, it use facets seqnaems ~ . as default to stack the genome. For accurate mapping, you need to provide `seqlengths` information in your `GRanges` object. Otherwise, data space will be computed for stacked overview chromosome background, this is _NOT_ the actual chromosome space!.

### Value

A `ggplot` object.

### Author(s)

Tengfei Yin

### Examples

    ## Not run:
    library(biovizBase)
    data(hg19IdeogramCyto, package = "biovizBase")
    library(GenomicRanges)

    ## you can also get ideogram by biovizBase::getIdeogram

    ## make shorter and clean labels
    old.chrs <- seqnames(seqinfo(hg19IdeogramCyto))
    new.chrs <- gsub("chr", "", old.chrs)
    ## lst <- as.list(new.chrs)
    names(new.chrs) <- old.chrs
    new.ideo <- renameSeqlevels(hg19IdeogramCyto, new.chrs)
    new.ideo <- keepSeqlevels(new.ideo, c(as.character(1:22) , "X", "Y"))
    new.ideo

    ## sample data
    data(darned_hg19_subset500, package = "biovizBase")
    idx <- is.na(values(darned_hg19_subset500)$exReg)
    values(darned_hg19_subset500)$exReg[idx] <- "unknown"

    ## you need to add seqlengths for accruate mapping
    chrnames <- unique(as.character(seqnames(darned_hg19_subset500)))
    data(hg19Ideogram, package = "biovizBase")
    seqlengths(darned_hg19_subset500) <- seqlengths(hg19Ideogram)[sort(chrnames)]

    dn <- darned_hg19_subset500
    values(dn)$score <- rnorm(length(dn))

    ## plotStackedOverview is a simple wrapper around this functions to
       create a stacked layout
    plotStackedOverview(new.ideo, cytobands = TRUE)

    plotStackedOverview(dn)
    plotStackedOverview(dn, aes(color = exReg, fill = exReg))
    ## this will did the trick for you to rescale the space
    plotStackedOverview(dn, aes(x = midpoint, y = score), geom = "line")
    plotStackedOverview(dn, aes(x = midpoint, y = score), geom = "line", rescale.range = c(4, 6))
    ## no rescale
    plotStackedOverview(dn, aes(x = midpoint, y = score), geom = "line", rescale = FALSE,
                        xlab = "xlab", ylab = "ylab", main  = "main") + ylab("ylab")

    ## no object? will ask you for species and query the data on the fly
    plotStackedOverview()
    plotStackedOverview(cytobands = TRUE)

    ## End(Not run)

[Package ggbio version 1.38.0 Index]