PairwiseAlignments-io {Biostrings} | R Documentation

## Write a PairwiseAlignments object to a file

### Description

The `writePairwiseAlignments` function writes a PairwiseAlignments object to a file. Only the "pair" format is supported at the moment.

### Usage

    writePairwiseAlignments(x, file="", Matrix=NA, block.width=50)

### Arguments

`x` | A PairwiseAlignments object, typically returned by the `pairwiseAlignment` function.
`file` | A connection, or a character string naming the file to print to. If `""` (the default), `writePairwiseAlignments` prints to the standard output connection (aka the console) unless redirected by `sink`. If it is `"|cmd"`, the output is piped to the command given by `cmd`, by opening a pipe connection.
`Matrix` | A single string containing the name of the substitution matrix (e.g. `"BLOSUM50"`) used for the alignment. See the `substitutionMatrix` argument of the `pairwiseAlignment` function for the details. See `?substitution.matrices` for a list of predefined substitution matrices available in the Biostrings package.
`block.width` | A single integer specifying the maximum number of sequence letters (including the "-" letter, which represents gaps) per line.

### Details

The "pair" format is one of the numerous pairwise sequence alignment formats supported by the EMBOSS software. See http://emboss.sourceforge.net/docs/themes/AlignFormats.html for a brief (and rather informal) description of this format.

### Note

This brief description of the "pair" format suggests that it is best suited for global pairwise alignments, because, in that case, the original pattern and subject sequences can be inferred (by just removing the gaps).

However, even though the "pair" format can also be used for non global pairwise alignments (i.e. for global-local, local-global, and local pairwise alignments), in that case the original pattern and subject sequences cannot be inferred. This is because the alignment written to the file doesn't necessarily span the entire pattern (if `type(x)` is `local-global` or `local`) or the entire subject (if `type(x)` is `global-local` or `local`).

As a consequence, the `writePairwiseAlignments` function can be used on a PairwiseAlignments object `x` containing non global alignments (i.e. with `type(x) != "global"`), but with the 2 following caveats:

1. The type of the alignments (`type(x)`) is not written to the file.

2. The original pattern and subject sequences cannot be inferred. Furthermore, there is no way to infer their lengths (because we don't know whether they were trimmed or not).

Also note that the `pairwiseAlignment` function interprets the `gapOpening` and `gapExtension` arguments differently than most other alignment tools. As a consequence the values of the Gap_penalty and Extend_penalty fields written to the file are not the same as the values that were passed to the `gapOpening` and `gapExtension` arguments. With the following relationship:

- Gap_penalty = gapOpening + gapExtension

- Extend_penalty = gapExtension

### Author(s)

H. Pagès

### References

http://emboss.sourceforge.net/docs/themes/AlignFormats.html

### See Also

- `pairwiseAlignment`

- PairwiseAlignments-class

- substitution.matrices

### Examples

    ## ---------------------------------------------------------------------
    ## A. WITH ONE PAIR
    ## ---------------------------------------------------------------------
    pattern <- DNAString("CGTACGTAACGTTCGT")
    subject <- DNAString("CGTCGTCGTCCGTAA")
    pa1 <- pairwiseAlignment(pattern, subject)
    pa1
    writePairwiseAlignments(pa1)
    writePairwiseAlignments(pa1, block.width=10)
    ## The 2 bottom-right numbers (16 and 15) are the lengths of
    ## the original pattern and subject, respectively.

    pa2 <- pairwiseAlignment(pattern, subject, type="global-local")
    pa2  # score is different!
    writePairwiseAlignments(pa2)
    ## By just looking at the file, we can't tell the length of the
    ## original subject! Could be 13, could be more...

    pattern <- DNAString("TCAACTTAACTT")
    subject <- DNAString("GGGCAACAACGGG")
    pa3 <- pairwiseAlignment(pattern, subject, type="global-local",
                             gapOpening=-2, gapExtension=-1)
    writePairwiseAlignments(pa3)

    ## ---------------------------------------------------------------------
    ## B. WITH MORE THAN ONE PAIR (AND NAMED PATTERNS)
    ## ---------------------------------------------------------------------
    pattern <- DNAStringSet(c(myp1="ACCA", myp2="ACGCA", myp3="ACGGCA"))
    pa4 <- pairwiseAlignment(pattern, subject)
    pa4
    writePairwiseAlignments(pa4)

    ## ---------------------------------------------------------------------
    ## C. REPRODUCING THE ALIGNMENT SHOWN AT
    ##    http://emboss.sourceforge.net/docs/themes/alnformats/align.pair
    ## ---------------------------------------------------------------------
    pattern <- c("TSPASIRPPAGPSSRPAMVSSRRTRPSPPGPRRPTGRPCCSAAPRRPQAT",
                 "GGWKTCSGTCTTSTSTRHRGRSGWSARTTTAACLRASRKSMRAACSRSAG",
                 "SRPNRFAPTLMSSCITSTTGPPAWAGDRSHE")
    subject <- c("TSPASIRPPAGPSSRRPSPPGPRRPTGRPCCSAAPRRPQATGGWKTCSGT",
                 "CTTSTSTRHRGRSGWRASRKSMRAACSRSAGSRPNRFAPTLMSSCITSTT",
                 "GPPAWAGDRSHE")
    pattern <- unlist(AAStringSet(pattern))
    subject <- unlist(AAStringSet(subject))
    pattern  # original pattern
    subject  # original subject
    data(BLOSUM62)
    pa5 <- pairwiseAlignment(pattern, subject,
                             substitutionMatrix=BLOSUM62,
                             gapOpening=9.5, gapExtension=0.5)
    pa5
    writePairwiseAlignments(pa5, Matrix="BLOSUM62")

[Package Biostrings version 2.56.0 Index]