seqlevels-wrappers: Convenience wrappers to the seqlevels() getter and setter

Description Usage Arguments Details Value Author(s) See Also Examples

Description

Keep, drop or rename seqlevels in objects with a Seqinfo class.

Usage

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keepSeqlevels(x, value, pruning.mode=c("error", "coarse", "fine", "tidy"))
dropSeqlevels(x, value, pruning.mode=c("error", "coarse", "fine", "tidy"))
renameSeqlevels(x, value)
restoreSeqlevels(x)
standardChromosomes(x, species=NULL)
keepStandardChromosomes(x, species=NULL,
                        pruning.mode=c("error", "coarse", "fine", "tidy"))

Arguments

x

Any object having a Seqinfo class in which the seqlevels will be kept, dropped or renamed.

value

A named or unnamed character vector.

Names are ignored by keepSeqlevels and dropSeqlevels. Only the values in the character vector dictate which seqlevels to keep or drop.

In the case of renameSeqlevels, the names are used to map new sequence levels to the old (names correspond to the old levels). When value is unnamed, the replacement vector must the same length and in the same order as the original seqlevels(x).

pruning.mode

See ?seqinfo for a description of the pruning modes.

species

The genus and species of the organism. Supported species can be seen with names(genomeStyles()).

Details

Matching and overlap operations on range objects often require that the seqlevels match before a comparison can be made (e.g., findOverlaps). keepSeqlevels, dropSeqlevels and renameSeqlevels are high-level convenience functions that wrap the low-level seqlevels setter.

Value

The x object with seqlevels removed or renamed. If x has no seqlevels (empty object) or no replacement values match the current seqlevels in x the unchanged x is returned.

Author(s)

Valerie Obenchain, Sonali Arora

See Also

Examples

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## ---------------------------------------------------------------------
## keepSeqlevels / dropSeqlevels 
## ---------------------------------------------------------------------

##
## GRanges / GAlignments:
##

library(GenomicRanges)
gr <- GRanges(c("chr1", "chr1", "chr2", "chr3"), IRanges(1:4, width=3))
seqlevels(gr)
## Keep only 'chr1'
gr1 <- keepSeqlevels(gr, "chr1", pruning.mode="coarse")
## Drop 'chr1'. Both 'chr2' and 'chr3' are kept.
gr2 <- dropSeqlevels(gr, "chr1", pruning.mode="coarse")

library(Rsamtools)  # for the ex1.bam file
library(GenomicAlignments)  # for readGAlignments()

fl <- system.file("extdata", "ex1.bam", package="Rsamtools")
gal <- readGAlignments(fl)
## If 'value' is named, the names are ignored.
seq2 <- keepSeqlevels(gal, c(foo="seq2"), pruning.mode="coarse")
seqlevels(seq2)

##
## List-like objects:
##

grl0 <- GRangesList(A=GRanges("chr2", IRanges(3:2, 5)),
                    B=GRanges(c("chr2", "chrMT"), IRanges(7:6, 15)),
                    C=GRanges(c("chrY", "chrMT"), IRanges(17:16, 25)),
                    D=GRanges())
## See ?seqinfo for a description of the pruning modes.
keepSeqlevels(grl0, "chr2", pruning.mode="coarse")
keepSeqlevels(grl0, "chr2", pruning.mode="fine")
keepSeqlevels(grl0, "chr2", pruning.mode="tidy")

library(TxDb.Dmelanogaster.UCSC.dm3.ensGene)
txdb <- TxDb.Dmelanogaster.UCSC.dm3.ensGene
## Pruning mode "coarse" is particularly well suited on a GRangesList
## object that contains exons grouped by transcript:
ex_by_tx <- exonsBy(txdb, by="tx")
seqlevels(ex_by_tx)
ex_by_tx2 <- keepSeqlevels(ex_by_tx, "chr2L", pruning.mode="coarse")
seqlevels(ex_by_tx2)
## Pruning mode "tidy" is particularly well suited on a GRangesList
## object that contains transcripts grouped by gene:
tx_by_gene <- transcriptsBy(txdb, by="gene")
seqlevels(tx_by_gene)
tx_by_gene2 <- keepSeqlevels(tx_by_gene, "chr2L", pruning.mode="tidy")
seqlevels(tx_by_gene2)

## ---------------------------------------------------------------------
## renameSeqlevels 
## ---------------------------------------------------------------------

##
## GAlignments:
##

seqlevels(gal)
## Rename 'seq2' to 'chr2' with a named vector.
gal2a <- renameSeqlevels(gal, c(seq2="chr2"))
## Rename 'seq2' to 'chr2' with an unnamed vector that includes all 
## seqlevels as they appear in the object.
gal2b <- renameSeqlevels(gal, c("seq1", "chr2"))
## Names that do not match existing seqlevels are ignored.
## This attempt at renaming does nothing.
gal3 <- renameSeqlevels(gal, c(foo="chr2"))
stopifnot(identical(gal, gal3))

##
## TxDb:
##

seqlevels(txdb)
## When the seqlevels of a TxDb are renamed, all future 
## extractions reflect the modified seqlevels.
renameSeqlevels(txdb, sub("chr", "CH", seqlevels(txdb)))
renameSeqlevels(txdb, c(CHM="M"))
seqlevels(txdb)

transcripts <- transcripts(txdb)
identical(seqlevels(txdb), seqlevels(transcripts))

## ---------------------------------------------------------------------
## restoreSeqlevels 
## ---------------------------------------------------------------------

## Restore seqlevels in a TxDb to original values.
## Not run: 
txdb <- restoreSeqlevels(txdb)
seqlevels(txdb)

## End(Not run)

## ---------------------------------------------------------------------
## keepStandardChromosomes
## ---------------------------------------------------------------------

##
## GRanges:
##
gr <- GRanges(c(paste0("chr",c(1:3)), "chr1_gl000191_random",
              "chr1_gl000192_random"), IRanges(1:5, width=3))
gr
keepStandardChromosomes(gr, pruning.mode="coarse")

##
## List-like objects:
##

grl <- GRangesList(GRanges("chr1", IRanges(1:2, 5)),
                   GRanges(c("chr1_GL383519v1_alt", "chr1"), IRanges(5:6, 5)))
## Use pruning.mode="coarse" to drop list elements with mixed seqlevels:
keepStandardChromosomes(grl, pruning.mode="coarse")
## Use pruning.mode="tidy" to keep all list elements with ranges on
## standard chromosomes:
keepStandardChromosomes(grl, pruning.mode="tidy")

##
## The set of standard chromosomes should not be affected by the
## particular seqlevel style currently in use:
##

## NCBI
worm <- GRanges(c("I", "II", "foo", "X", "MT"), IRanges(1:5, width=5))
keepStandardChromosomes(worm, pruning.mode="coarse")

## UCSC
seqlevelsStyle(worm) <- "UCSC"
keepStandardChromosomes(worm, pruning.mode="coarse")

## Ensembl
seqlevelsStyle(worm) <- "Ensembl"
keepStandardChromosomes(worm, pruning.mode="coarse")

GenomeInfoDb documentation built on April 9, 2021, 6 p.m.