getDIMPatGenes | R Documentation |
The function counts DMPs overlapping with gene-body. In fact, this function also can be used to count DMPs overlapping with any set of regions given in a GRanges object.
getDIMPatGenes(
GR,
GENES,
type = "within",
ignore.strand = TRUE,
only.hypo = FALSE,
only.hyper = FALSE,
output = c("list", "GRanges"),
by.coord = FALSE,
gene_id_col = NULL,
gene_name_col = NULL,
...
)
## Default S3 method:
getDIMPatGenes(
GR,
GENES,
type = "within",
ignore.strand = TRUE,
only.hypo = FALSE,
only.hyper = FALSE,
output = NULL,
by.coord = FALSE,
gene_id_col = NULL,
gene_name_col = NULL,
...
)
## S3 method for class 'GRanges'
getDIMPatGenes(
GR,
GENES,
type = "within",
ignore.strand = TRUE,
only.hypo = FALSE,
only.hyper = FALSE,
output = NULL,
by.coord = FALSE,
gene_id_col = NULL,
gene_name_col = NULL,
...
)
## S3 method for class 'pDMP'
getDIMPatGenes(
GR,
GENES,
type = "within",
ignore.strand = TRUE,
only.hypo = FALSE,
only.hyper = FALSE,
output = c("list", "GRanges"),
by.coord = FALSE,
gene_id_col = NULL,
gene_name_col = NULL,
...
)
## S3 method for class 'InfDiv'
getDIMPatGenes(
GR,
GENES,
type = "within",
ignore.strand = TRUE,
only.hypo = FALSE,
only.hyper = FALSE,
output = c("list", "GRanges"),
by.coord = FALSE,
gene_id_col = NULL,
gene_name_col = NULL,
...
)
## S3 method for class 'list'
getDIMPatGenes(
GR,
GENES,
type = "within",
ignore.strand = TRUE,
only.hypo = FALSE,
only.hyper = FALSE,
output = c("list", "GRanges"),
by.coord = FALSE,
gene_id_col = NULL,
gene_name_col = NULL,
...
)
GR |
An objects object from the any of the classes: 'pDMP', 'InfDiv', GRangesList, GRanges or a list of GRanges. |
GENES |
A GRanges object with gene coordinates and gene IDs. A column named 'gene_id' carrying the gene ids should be included in the metacolumns. If the meta-column named 'gene_id' is not provided, then gene (region) ids will be created using the gene (region) coordinates. |
ignore.strand, type |
Same as for
|
only.hypo, only.hyper |
logical(1). Whether to select only hypo-methylated or hyper-methylated cytosine sites. |
output |
Class of the object to be returned, a "list", or a "GRanges" object. |
by.coord |
logical(1). If TRUE, then the DMP are count per coordinate and not per gene id. |
gene_id_col |
Optional. An integer denoting the column from the GENES metacolumn where the gene ids are given. |
gene_name_col |
Optional. An integer denoting the column from the GENES metacolumn where the gene 'name' are given. |
... |
optional arguments for
|
If by.coord == FALSE and "gene_id" is provided in GENES argument, then DMP counts are made per gene-id. Hence, DMPs from different regions with the same gene-id, say e.g. exons, will be pooled in the count as they bear the same id.
A a list GRanges object.
getDMPatRegions
## Gene annotation
genes <- GRanges(seqnames = '1',
ranges = IRanges(start = c(3631, 6788, 11649), end = c(5899, 9130, 13714)),
strand = c('+', '-', '-'))
mcols(genes) <- data.frame(gene_id = c('AT1G01010', 'AT1G01020',
'AT1G01030'))
## Get a dataset of potential signals and the estimated cutpoint from the
## package
data(PS, cutpoint)
## The estimated cutpoints are used to discriminate signals from the noise.
## That is, DMPs are selected using the cupoints
DIMPs <- selectDIMP(PS, div.col = 9L, cutpoint = cutpoint$cutpoint)
## Finally DMPs found on genes
DIMR <- getDIMPatGenes(GR = DIMPs$T1, GENES = genes)
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