| seqlevels-wrappers {GenomeInfoDb} | R Documentation |
Convenience wrappers to the seqlevels() getter and setter
Description
Keep, drop or rename seqlevels in objects with a Seqinfo class.
Usage
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 In the case of |
pruning.mode |
See |
species |
The genus and species of the organism. Supported species can be seen with
|
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.
-
keepSeqlevels,dropSeqlevels: Subsetting operations that modify the size ofx.keepSeqlevelskeeps only the seqlevels invalueand removes all others.dropSeqlevelsdrops the levels invalueand retains all others. Ifvaluedoes not match any seqlevels inxan empty object is returned.When
xis a GRangesList it is possible to have 'mixed' list elements that have ranges from different chromosomes.keepSeqlevelswill not keep 'mixed' list elements -
renameSeqlevels: Rename the seqlevels inxto those invalue. Ifvalueis a named character vector, the names are used to map the new seqlevels to the old. Whenvalueis unnamed, the replacement vector must be the same length and in the same order as the originalseqlevels(x). -
restoreSeqlevels: Performseqlevels(txdb) <- seqlevels0(txdb), that is, restore the seqlevels inxback to the original values. Applicable only whenxis a TxDb object. -
standardChromosomes: Lists the 'standard' chromosomes defined as sequences in the assembly that are not scaffolds; also referred to as an 'assembly molecule' in NCBI.standardChromosomesattempts to detect the seqlevel style and if more than one style is matched, e.g., 'UCSC' and 'Ensembl', the first is chosen.xmust have a Seqinfo object.speciescan be specified as a character string; supported species are listed withnames(genomeStyles()).When
xcontains seqlevels from multiple organisms all those considered standard will be kept. For example, if seqlevels are "chr1" and "chr3R" from human and fly both will be kept. Ifspecies="Homo sapiens"is specified then only "chr1" is kept. -
keepStandardChromosomes: Subsetting operation that returns only the 'standard' chromosomes.xmust have a Seqinfo object.speciescan be specified as a character string; supported species are listed withnames(genomeStyles()).When
xcontains seqlevels from multiple organisms all those considered standard will be kept. For example, if seqlevels are "chr1" and "chr3R" from human and fly both will be kept. Ifspecies="Homo sapiens"is specified then only "chr1" is kept.
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
## ---------------------------------------------------------------------
## 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")