kmerSplit {FindMyFriends} | R Documentation

## Split gene groups based on similarity

### Description

This function splits up gene groups based on cosine similarity of kmer feature vectors. It uses hard splitting based on a similarity cutoff where unconnected components constitutes new groups. Unlike `neighborhoodSplit`, paralogues cannot be forced into separate groups as information needed for this is not present.

### Usage

    kmerSplit(object, ...)

    ## S4 method for signature 'pgVirtual'
    kmerSplit(object, kmerSize, lowerLimit, maxLengthDif,
      pParam)

### Arguments

`object` | A pgVirtual subclass
`...` | Arguments passed on
`kmerSize` | The length of kmers used for sequence similarity
`lowerLimit` | The lower limit of sequence similarity below which it will be set to 0
`maxLengthDif` | The maximum deviation in sequence length to allow. Between 0 and 1 it describes a percentage. Above 1 it describes a fixed length
`pParam` | An optional BiocParallelParam object that defines the workers used for parallelisation.

### Value

A new pgVirtual subclass object of the same class as 'object'

### Methods (by class)

- `pgVirtual`: Kmer similarity based group splitting for pgVirtual subclasses

### See Also

Other group-splitting: `neighborhoodSplit`

### Examples

    # Get a grouped pangenome
    pg <- .loadPgExample(withGroups = TRUE)

    ## Not run:
    # Split groups by similarity (Too heavy to include)
    pg <- kmerSplit(pg, lowerLimit = 0.8)

    ## End(Not run)

[Package FindMyFriends version 1.19.0 Index]