artificial.orfs {ORFik} | R Documentation

## Create small artificial orfs from cds

### Description

Usefull to see if short ORFs prediction is dependent on length.
Split cds first in two, a start part and stop part. Then say how large the two parts can be and merge them together. It will sample a value in range give.
Parts will be forced to not overlap and can not extend outside original cds

### Usage

    artificial.orfs(
      cds,
      start5 = 1,
      end5 = 4,
      start3 = -4,
      end3 = 0,
      bin.if.few = TRUE
    )

### Arguments

`cds` | a GRangesList of orfs, must have width %% 3 == 0 and length >= 6
`start5` | integer, default: 1 (start of orf)
`end5` | integer, default: 4 (max 4 codons from start codon)
`start3` | integer, default -4 (max 4 codons from stop codon)
`end3` | integer, default: 0 (end of orf)
`bin.if.few` | logical, default TRUE, instead of per codon, do per 2, 3, 4 codons if you have few samples compared to lengths wanted, If you have 4 cds' and you want 7 different lengths, which is the standard, it will give you possible nt length: 6-12-18-24 instead of original 6-9-12-15-18-21-24. If you have more than 30x cds than lengths wanted this is skipped. (for default arguments this is: 7*30 = 210 cds)

### Details

If artificial cds length is not divisible by 2, like 3 codons, the second codon will always be from the start region etc.
Also If there are many very short original cds, the distribution will be skewed towards more smaller artificial cds.

### Value

GRangesList of new ORFs (sorted: + strand increasing start, - strand decreasing start)

### Examples

    txdb <- ORFik.template.experiment()
    #cds <- loadRegion(txdb, "cds")
    ## To get enough CDSs, just replicate them
    # cds <- rep(cds, 100)
    #artificial.orfs(cds)

[Package ORFik version 1.14.7 Index]