Description Usage Arguments Details Value Author(s) See Also Examples
Get data with multiple values per sample from a GDS object and return as an array
1 2 | ## S4 method for signature 'SeqVarGDSClass,character'
getVariableLengthData(gdsobj, var.name, use.names=TRUE, parallel=FALSE)
|
gdsobj |
A |
var.name |
Character string with name of the variable, most likely "annotation/format/VARIABLE_NAME". |
use.names |
A logical indicating whether to assign sample and variant IDs as dimnames of the resulting matrix. |
parallel |
Logical, numeric, or other value to control parallel
processing; see |
Data which are indicated as having variable length (possibly different numbers of values for each variant) in the VCF header are stored as variable-length data in the GDS file. Each such data object has two components, "length" and "data." "length" indicates how many values there are for each variant, while "data" is a matrix with one row per sample and columns defined as all values for variant 1, followed by all values for variant 2, etc.
getVariableLengthData
converts this format to a 3-dimensional
array, where the length of the first dimension is the maximum number
of values in "length," and the remaining dimensions are sample and
variant. Missing values are given as NA. If the first dimension of
this array would have length 1, the result is converted to a matrix.
An array with dimensions [n, sample, variant] where n is the maximum number of values possible for a given sample/variant cell. If n=1, a matrix with dimensions [sample,variant].
Stephanie Gogarten
SeqVarGDSClass
,
applyMethod
,
seqGetData
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | file <- system.file("extdata", "gl_chr1.gds", package="SeqVarTools")
gds <- seqOpen(file)
## genotype likelihood
gl <- seqGetData(gds, "annotation/format/GL")
names(gl)
gl$length
## 3 values per variant - likelihood of RR,RA,AA genotypes
dim(gl$data)
## 85 samples (rows) and 9 variants with 3 values each - 27 columns
gl.array <- getVariableLengthData(gds, "annotation/format/GL")
dim(gl.array)
## 3 genotypes x 85 samples x 9 variants
head(gl.array[1,,])
head(gl.array[2,,])
head(gl.array[3,,])
seqClose(gds)
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