IRanges (version 2.6.1)

MaskCollection-class: MaskCollection objects

Description

The MaskCollection class is a container for storing a collection of masks that can be used to mask regions in a sequence.

Arguments

Basic accessor methods

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.

Constructor

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.

Other methods

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)

Subsetting and appending

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.

Other methods

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.

Details

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.

See Also

NormalIRanges-class, read.Mask, MaskedXString-class, reverse, alphabetFrequency, matchPattern

Examples

Run this code
  ## 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]))

Run the code above in your browser using DataLab