nearest-methods {GenomicTuples} | R Documentation

## Finding the nearest genomic tuple/range neighbour

### Description

The `nearest`, `precede`, `follow`, `distance` and `distanceToNearest` methods for `GTuples` objects and subclasses.

NOTE: These methods treat the tuples as if they were ranges, with ranges given by [pos_{1}, pos_{m}] and where m is the `size,GTuples-method` of the tuples. This is done via inheritance so that a `GTuples` object is treated as a `GRanges` and the appropriate method is dispatched upon.

### Usage

    ## S4 method for signature 'GTuples,GTuples'
    precede(x, subject, select = c("arbitrary", "all"),
            ignore.strand = FALSE, ...)
    ## S4 method for signature 'GTuples,missing'
    precede(x, subject, select = c("arbitrary", "all"),
            ignore.strand = FALSE, ...)

    ## S4 method for signature 'GTuples,GTuples'
    follow(x, subject, select = c("arbitrary", "all"),
           ignore.strand=FALSE, ...)
    ## S4 method for signature 'GTuples,missing'
    follow(x, subject, select = c("arbitrary", "all"),
           ignore.strand = FALSE, ...)

    ## S4 method for signature 'GTuples,GTuples'
    nearest(x, subject, select = c("arbitrary", "all"),
            ignore.strand = FALSE, ...)
    ## S4 method for signature 'GTuples,missing'
    nearest(x, subject, select = c("arbitrary", "all"),
            ignore.strand = FALSE, ...)

    ## S4 method for signature 'GTuples,GTuples'
    distanceToNearest(x, subject, ignore.strand = FALSE,
                      ...)
    ## S4 method for signature 'GTuples,missing'
    distanceToNearest(x, subject, ignore.strand = FALSE,
                      ...)

    ## S4 method for signature 'GTuples,GTuples'
    distance(x, y, ignore.strand = FALSE, ...)

### Arguments

`x` | The query GTuples instance.
`subject` | The subject GTuples instance within which the nearest neighbours are found. Can be missing, in which case `x` is also the subject.
`y` | For the `distance` method, a `GTuples` or `GRanges` instance. Cannot be missing. If `x` and `y` are not the same length, the shortest will be recycled to match the length of the longest.
`select` | Logic for handling ties. By default, all methods select a single tuple/range (arbitrary for `nearest`, the first by order in `subject` for `precede`, and the last for `follow`). When `select = "all"` a `Hits` object is returned with all matches for `x`. If `x` does not have a match in `subject` the `x` is not included in the `Hits` object.
`ignore.strand` | A `logical` indicating if the strand of the input tuples/ranges should be ignored. When `TRUE`, strand is set to `'+'`.
`...` | Additional arguments for methods.

### Details

- nearest: Performs conventional nearest neighbour finding. Returns an integer vector containing the index of the nearest neighbour tuple/range in `subject` for each range in `x`. If there is no nearest neighbour `NA` is returned. For details of the algorithm see the man page in IRanges, ?`nearest`.

- precede: For each range in `x`, `precede` returns the index of the tuple/range in `subject` that is directly preceded by the tuple/range in `x`. Overlapping tuples/ranges are excluded. `NA` is returned when there are no qualifying tuples/ranges in `subject`.

- follow: The opposite of `precede`, `follow` returns the index of the tuple/range in `subject` that is directly followed by the tuple/range in `x`. Overlapping tuples/ranges are excluded. `NA` is returned when there are no qualifying tuples/ranges in `subject`.

- Orientation and Strand: The relevant orientation for `precede` and `follow` is 5' to 3', consistent with the direction of translation. Because positional numbering along a chromosome is from left to right and transcription takes place from 5' to 3', `precede` and `follow` can appear to have ‘opposite’ behaviour on the `+` and `-` strand. Using positions 5 and 6 as an example, 5 precedes 6 on the `+` strand but follows 6 on the `-` strand.

  A tuple/range with strand `*` can be compared to tuples/ranges on either the `+` or `-` strand. Below we outline the priority when tuples/ranges on multiple strands are compared. When `ignore.strand=TRUE` all tuples/ranges are treated as if on the `+` strand.

  - x on + strand can match to tuples/ranges on both + and * strands. In the case of a tie the first tuple/range by order is chosen.

  - x on - strand can match to tuples/ranges on both - and * strands. In the case of a tie the first tuple/range by order is chosen.

  - x on * strand can match to tuples/ranges on any of +, - or * strands. In the case of a tie the first tuple/range by order is chosen.

- distanceToNearest: Returns the distance for each tuple/range in `x` to its nearest neighbour in the `subject`.

- distance: Returns the distance for each tuple/range in `x` to the range in `y`. The behaviour of `distance` has changed in Bioconductor 2.12. See the man page `?distance` in IRanges for details.

### Value

For `nearest`, `precede` and `follow`, an integer vector of indices in `subject`, or a`Hits` if `select = "all"`.

For `distanceToNearest`, a `Hits` object with a column for the `query` index (from), `subject` index (to) and the `distance` between the pair.

For `distance`, an integer vector of distances between the tuples/ranges in `x` and `y`.

### Author(s)

Peter Hickey for methods involving `GTuples`. P. Aboyoun and V. Obenchain <vobencha@fhcrc.org> for all the real work underlying the powerful nearest methods.

### See Also

- The GTuples and GRanges classes.

- `GenomicRanges` and `GRanges` classes in the GenomicRanges package.

- The`IPosRanges` class in the IRanges package.

- The `Hits` class in the S4Vectors package.

- The nearest-methods man page in the GenomicRanges package.

- findOverlaps-methods for finding just the overlapping ranges.

### Examples

      ## -----------------------------------------------------------
      ## precede() and follow()
      ## -----------------------------------------------------------
      query <- GTuples("A", matrix(c(5L, 20L, 6L, 21L), ncol = 2), strand = "+")
      subject <- GTuples("A", matrix(c(rep(c(10L, 15L), 2), rep(c(11L, 16L), 2)),
                                     ncol = 2),
                              strand = c("+", "+", "-", "-"))
      precede(query, subject)
      follow(query, subject)

      strand(query) <- "-"
      precede(query, subject)
      follow(query, subject)

      ## ties choose first in order
      query <- GTuples("A", matrix(c(10L, 11L), ncol = 2), c("+", "-", "*"))
      subject <- GTuples("A", matrix(c(rep(c(5L, 15L), each = 3),
                                       rep(c(6L, 16L), each = 3)), ncol = 2),
                              rep(c("+", "-", "*"), 2))
      precede(query, subject)
      precede(query, rev(subject))

      ## ignore.strand = TRUE treats all ranges as '+'
      precede(query[1], subject[4:6], select="all", ignore.strand = FALSE)
      precede(query[1], subject[4:6], select="all", ignore.strand = TRUE)

      ## -----------------------------------------------------------
      ## nearest()
      ## -----------------------------------------------------------
      ## When multiple tuples overlap an "arbitrary" tuple is chosen
      query <- GTuples("A", matrix(c(5L, 15L), ncol = 2))
      subject <- GTuples("A", matrix(c(1L, 15L, 5L, 19L), ncol = 2))
      nearest(query, subject)

      ## select = "all" returns all hits
      nearest(query, subject, select = "all")

      ## Tuples in 'x' will self-select when 'subject' is present
      query <- GTuples("A", matrix(c(1L, 10L, 6L, 15L), ncol = 2))
      nearest(query, query)

      ## Tuples in 'x' will not self-select when 'subject' is missing
      nearest(query)

      ## -----------------------------------------------------------
      ## distance(), distanceToNearest()
      ## -----------------------------------------------------------
      ## Adjacent, overlap, separated by 1
      query <- GTuples("A", matrix(c(1L, 2L, 10L, 5L, 8L, 11L), ncol = 2))
      subject <- GTuples("A", matrix(c(6L, 5L, 13L, 10L, 10L, 15L), ncol = 2))
      distance(query, subject)

      ## recycling
      distance(query[1], subject)

      query <- GTuples(c("A", "B"), matrix(c(1L, 5L, 2L, 6L), ncol = 2))
      distanceToNearest(query, subject)

[Package GenomicTuples version 1.21.5 Index]