Description Details Basic accessor methods Constructor Other methods Subsetting and appending Other methods Author(s) See Also Examples
The MaskCollection class is a container for storing a collection of masks that can be used to mask regions in a sequence.
In the context of the Biostrings package, a mask is a set of regions
in a sequence that need to be excluded from some computation.
For example, when calling alphabetFrequency
or matchPattern
on a chromosome sequence,
you might want to exclude some regions like the centromere or the repeat
regions. This can be achieved by putting one or several masks on the sequence
before calling alphabetFrequency
on it.
A MaskCollection object is a vector-like object that represents such set of masks. Like standard R vectors, it has a "length" which is the number of masks contained in it. But unlike standard R vectors, it also has a "width" which determines the length of the sequences it can be "put on". For example, a MaskCollection object of width 20000 can only be put on an XString object of 20000 letters.
Each mask in a MaskCollection object x
is just a finite set of
integers that are >= 1 and <= width(x)
.
When "put on" a sequence, these integers indicate the positions of the
letters to mask.
Internally, each mask is represented by a NormalIRanges
object.
In the code snippets below, x
is a MaskCollection object.
length(x)
:
The number of masks in x
.
width(x)
:
The common with of all the masks in x
.
This determines the length of the sequences that x
can be
"put on".
active(x)
:
A logical vector of the same length as x
where each
element indicates whether the corresponding mask is active or not.
names(x)
:
NULL
or a character vector of the same length as x
.
desc(x)
:
NULL
or a character vector of the same length as x
.
nir_list(x)
:
A list of the same length as x
, where each element is
a NormalIRanges object representing a mask in x
.
Mask(mask.width, start=NULL, end=NULL, width=NULL)
:
Return a single mask (i.e. a MaskCollection object of length 1)
of width mask.width
(a single integer >= 1)
and masking the ranges of positions specified by start
,
end
and width
.
See the IRanges
constructor (?IRanges
)
for how start
, end
and width
can be specified.
Note that the returned mask is active and unnamed.
In the code snippets below, x
is a MaskCollection object.
isEmpty(x)
:
Return a logical vector of the same length as x
, indicating,
for each mask in x
, whether it's empty or not.
max(x)
:
The greatest (or last, or rightmost) masked position for each mask.
This is a numeric vector of the same length as x
.
min(x)
:
The smallest (or first, or leftmost) masked position for each mask.
This is a numeric vector of the same length as x
.
maskedwidth(x)
:
The number of masked position for each mask.
This is an integer vector of the same length as x
where
all values are >= 0 and <= width(x)
.
maskedratio(x)
:
maskedwidth(x) / width(x)
In the code snippets below,
x
and values
are MaskCollection objects.
x[i]
:
Return a new MaskCollection object made of the selected masks.
Subscript i
can be a numeric, logical or character vector.
x[[i, exact=TRUE]]
:
Extract the mask selected by i
as a NormalIRanges object.
Subscript i
can be a single integer or a character string.
append(x, values, after=length(x))
:
Add masks in values
to x
.
In the code snippets below, x
is a MaskCollection object.
collapse(x)
:
Return a MaskCollection object of length 1 obtained by collapsing
all the active masks in x
.
Hervé Pagès
NormalIRanges-class,
read.Mask,
MaskedXString-class,
reverse
,
alphabetFrequency
,
matchPattern
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 31 | ## Making a MaskCollection object:
mask1 <- Mask(mask.width=29, start=c(11, 25, 28), width=c(5, 2, 2))
mask2 <- Mask(mask.width=29, start=c(3, 10, 27), width=c(5, 8, 1))
mask3 <- Mask(mask.width=29, start=c(7, 12), width=c(2, 4))
mymasks <- append(append(mask1, mask2), mask3)
mymasks
length(mymasks)
width(mymasks)
collapse(mymasks)
## Names and descriptions:
names(mymasks) <- c("A", "B", "C") # names should be short and unique...
mymasks
mymasks[c("C", "A")] # ...to make subsetting by names easier
desc(mymasks) <- c("you can be", "more verbose", "here")
mymasks[-2]
## Activate/deactivate masks:
active(mymasks)["B"] <- FALSE
mymasks
collapse(mymasks)
active(mymasks) <- FALSE # deactivate all masks
mymasks
active(mymasks)[-1] <- TRUE # reactivate all masks except mask 1
active(mymasks) <- !active(mymasks) # toggle all masks
## Other advanced operations:
mymasks[[2]]
length(mymasks[[2]])
mymasks[[2]][-3]
append(mymasks[-2], gaps(mymasks[2]))
|
Loading required package: BiocGenerics
Loading required package: parallel
Attaching package: ‘BiocGenerics’
The following objects are masked from ‘package:parallel’:
clusterApply, clusterApplyLB, clusterCall, clusterEvalQ,
clusterExport, clusterMap, parApply, parCapply, parLapply,
parLapplyLB, parRapply, parSapply, parSapplyLB
The following objects are masked from ‘package:stats’:
IQR, mad, sd, var, xtabs
The following objects are masked from ‘package:base’:
anyDuplicated, append, as.data.frame, basename, cbind, colnames,
dirname, do.call, duplicated, eval, evalq, Filter, Find, get, grep,
grepl, intersect, is.unsorted, lapply, Map, mapply, match, mget,
order, paste, pmax, pmax.int, pmin, pmin.int, Position, rank,
rbind, Reduce, rownames, sapply, setdiff, sort, table, tapply,
union, unique, unsplit, which.max, which.min
Loading required package: S4Vectors
Loading required package: stats4
Attaching package: ‘S4Vectors’
The following object is masked from ‘package:base’:
expand.grid
MaskCollection of length 3 and width 29
masks:
maskedwidth maskedratio active
1 9 0.3103448 TRUE
2 14 0.4827586 TRUE
3 6 0.2068966 TRUE
all masks together:
maskedwidth maskedratio
19 0.6551724
[1] 3
[1] 29
MaskCollection of length 1 and width 29
masks:
maskedwidth maskedratio active
1 19 0.6551724 TRUE
MaskCollection of length 3 and width 29
masks:
maskedwidth maskedratio active names
1 9 0.3103448 TRUE A
2 14 0.4827586 TRUE B
3 6 0.2068966 TRUE C
all masks together:
maskedwidth maskedratio
19 0.6551724
MaskCollection of length 2 and width 29
masks:
maskedwidth maskedratio active names
1 6 0.2068966 TRUE C
2 9 0.3103448 TRUE A
all masks together:
maskedwidth maskedratio
11 0.3793103
MaskCollection of length 2 and width 29
masks:
maskedwidth maskedratio active names desc
1 9 0.3103448 TRUE A you can be
2 6 0.2068966 TRUE C here
all masks together:
maskedwidth maskedratio
11 0.3793103
MaskCollection of length 3 and width 29
masks:
maskedwidth maskedratio active names desc
1 9 0.3103448 TRUE A you can be
2 14 0.4827586 FALSE B more verbose
3 6 0.2068966 TRUE C here
all masks together:
maskedwidth maskedratio
19 0.6551724
all active masks together:
maskedwidth maskedratio
11 0.3793103
MaskCollection of length 1 and width 29
masks:
maskedwidth maskedratio active
1 11 0.3793103 TRUE
MaskCollection of length 3 and width 29
masks:
maskedwidth maskedratio active names desc
1 9 0.3103448 FALSE A you can be
2 14 0.4827586 FALSE B more verbose
3 6 0.2068966 FALSE C here
all masks together:
maskedwidth maskedratio
19 0.6551724
all active masks together:
maskedwidth maskedratio
0 0
NormalIRanges object with 3 ranges and 0 metadata columns:
start end width
<integer> <integer> <integer>
[1] 3 7 5
[2] 10 17 8
[3] 27 27 1
[1] 3
NormalIRanges object with 2 ranges and 0 metadata columns:
start end width
<integer> <integer> <integer>
[1] 3 7 5
[2] 10 17 8
MaskCollection of length 3 and width 29
masks:
maskedwidth maskedratio active names desc
1 9 0.3103448 TRUE A you can be
2 6 0.2068966 FALSE C here
3 15 0.5172414 FALSE
all masks together:
maskedwidth maskedratio
21 0.7241379
all active masks together:
maskedwidth maskedratio
9 0.3103448
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