IdLengths {DECIPHER} | R Documentation

## Determine the Number of Bases, Nonbases, and Width of Each Sequence

### Description

Counts the number of bases (A, C, G, T) and ambiguities/degeneracies in each sequence.

### Usage

    IdLengths(dbFile,
              tblName = "Seqs",
              identifier = "",
              type = "DNAStringSet",
              add2tbl = FALSE,
              batchSize = 10000,
              processors = 1,
              verbose = TRUE)

### Arguments

`dbFile` | A SQLite connection object or a character string specifying the path to the database file.
`tblName` | Character string specifying the table where the sequences are located.
`identifier` | Optional character string used to narrow the search results to those matching a specific identifier. If "" then all identifiers are selected.
`type` | The type of `XStringSet` being processed. This should be (an abbreviation of) one of `"DNAStringSet"` or `"RNAStringSet"`.
`add2tbl` | Logical or a character string specifying the table name in which to add the result.
`batchSize` | Integer specifying the number of sequences to process at a time.
`processors` | The number of processors to use, or `NULL` to automatically detect and use all available processors.
`verbose` | Logical indicating whether to display progress.

### Value

A `data.frame` with the number of `bases` (“A”, “C”, “G”, or “T”), `nonbases`, and `width` of each sequence. The `width` is defined as the sum of `bases` and `nonbases` in each sequence. The `row.names` of the `data.frame` correspond to the "row_names" in the `tblName` of the `dbFile`.

### Author(s)

Erik Wright eswright@pitt.edu

### References

ES Wright (2016) "Using DECIPHER v2.0 to Analyze Big Biological Sequence Data in R". The R Journal, 8(1), 352-359.

### See Also

`Add2DB`

### Examples

    db <- system.file("extdata", "Bacteria_175seqs.sqlite", package="DECIPHER")
    l <- IdLengths(db)
    head(l)

[Package DECIPHER version 2.8.1 Index]