Description Constructor Accessor Methods Data Access Author(s) Examples
A Quickload data source is a collection of tracks and sequences,
separated by genome. This class, QuickloadGenome provides
direct access to the data for one particular genome.
QuickloadGenome(quickload, genome, create = FALSE,
seqinfo = seqinfo(genome),
title = toString(genome)): Constructs a
new QuickloadGenome object, representing genome in
the repository quickload (a URI string or a
Quickload object).
The genome argument can be an ID corresponding to a
genome (potentially) in quickload or an installed
BSgenome package. It can also be any instance of a class
which has methods for organism and releaseDate. A
good example is BSgenome or any other
derivative of GenomeDescription.
Those items are necessary for constructing the canonical
Quickload genome string (G_Species_Month_Year).
If create is TRUE, and the genome does not already
exist, the genome will be created, using seqinfo for the
sequence lengths and title for the display name of the
genome in a UI. Creation only works if the repository is local
and writeable. Reasonable defaults are used for seqinfo
and title when the necessary methods are available (and
they are for BSgenome).
In the code snippets below, x and object represent a
Quickload object.
seqinfo(x), seqinfo(x) <- value: Gets or sets the
Seqinfo object indicating the lengths
of the sequences in the genome. No circularity information or genome
identifier is stored.
quickload(x): Get the Quickload object that contains this
genome.
uri(x): Get the uri pointing to the genome directory in the
Quickload repository
genome(x): Get the name of the genome, e.g.
“H_sapiens_Feb_2009”.
releaseDate(x): Get the release portion of the genome name,
e.g., “Feb_2009”.
organism(object): Get the organism portion of the genome name,
e.g., “H sapiens”.
length(x): number of datasets
names(x), trackNames(x): names of the datasets
mcols(x): merged metadata on the datasets
track(x, name), x$name: get the track called name
track(x, name, format = bestFileFormat(value), ...) <-
value, x$name <- value: store the track value under
name. Note that track storing is only supported
for local repositories, i.e., those with a file:// URI
scheme.
Currently, supported value types include a
GenomicRanges, GRangesList, or a file resource
(copied to the repository). The file resource may be
represented as a path, URL, RTLFile or
RsamtoolsFile. If
not a file name, value is written in format. For
generic interval data, this means a BigWig file (if there is a
numeric “score” column) or a BED file otherwise. An
RleList (e.g., coverage) is output as BigWig. For
UCSCData values, the format is chosen according to the
type of track line. For RsamtoolsFile objects, the file
and its index are copied.
The arguments in ... become attributes in the XML
metadata. The “description” attribute is standard and is
a blurb for describing the track in a UI. For the rest, the
interpretation is up to the client. IGB supports an ever-growing
list; please see its documentation.
referenceSequence(x): Get the reference sequence, as a
DNAStringSet.
referenceSequence(x) <- value: Set the reference sequence, as a
DNAStringSet. It is written as a 2bit file. This only works
on local repositories.
Michael Lawrence
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 | tests_dir <- system.file("tests", package = "rtracklayer")
ql <- Quickload(file.path(tests_dir, "quickload"))
qlg <- QuickloadGenome(ql, "T_species_Oct_2011")
seqinfo(qlg)
organism(qlg)
releaseDate(qlg)
names(qlg)
mcols(qlg)
if (.Platform$OS.type != "windows") { # temporary
qlg$bedData
}
## Not run:
## populating the test repository
ql <- Quickload(file.path(tests_dir, "quickload"), create = TRUE)
reference_seq <- import(file.path(tests_dir, "test.2bit"))
names(reference_seq) <- "test"
qlg <- QuickloadGenome(ql, "T_species_Oct_2011", create = TRUE,
seqinfo = seqinfo(reference_seq))
referenceSequence(qlg) <- reference_seq
test_bed <- import(file.path(tests_dir, "test.bed"))
names(test_bed) <- "test"
qlg$bedData <- test_bed
test_bedGraph <- import(file.path(tests_dir, "test.bedGraph"))
names(test_bedGraph) <- "test"
start(test_bedGraph) <- seq(1, 90, 10)
width(test_bedGraph) <- 10
track(qlg, "bedGraphData", format = "bw") <- test_bedGraph
## End(Not run)
|
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