Learn R Programming

phangorn (version 2.12.1)

dna2codon: Translate nucleic acid sequences into codons

Description

The function transforms dna2codon DNA sequences to codon sequences, codon2dna transform the other way. dna2codon translates nucleotide to amino acids using the function trans.

Usage

dna2codon(x, codonstart = 1, code = 1, ambiguity = "---", ...)

codon2dna(x)

dna2aa(x, codonstart = 1, code = 1)

Value

The functions return an object of class phyDat.

Arguments

x

An object containing sequences.

codonstart

an integer giving where to start the translation. This should be 1, 2, or 3, but larger values are accepted and have for effect to start the translation further within the sequence.

code

The ncbi genetic code number for translation (see details). By default the standard genetic code is used.

ambiguity

character for ambiguous character and no contrast is provided.

...

further arguments passed to or from other methods.

Author

Klaus Schliep klaus.schliep@gmail.com

Details

The following genetic codes are described here. The number preceding each corresponds to the code argument.

1standard
2vertebrate.mitochondrial
3yeast.mitochondrial
4protozoan.mitochondrial+mycoplasma
5invertebrate.mitochondrial
6ciliate+dasycladaceal
9echinoderm+flatworm.mitochondrial
10euplotid
11bacterial+plantplastid
12alternativeyeast
13ascidian.mitochondrial
14alternativeflatworm.mitochondrial
15blepharism
16chlorophycean.mitochondrial
21trematode.mitochondrial
22scenedesmus.mitochondrial
23thraustochytrium.mitochondria
24Pterobranchia.mitochondrial
25CandidateDivision.SR1+Gracilibacteria
26Pachysolen.tannophilus

Alignment gaps and ambiguities are currently ignored and sites containing these are deleted.

References

https://www.ncbi.nlm.nih.gov/Taxonomy/taxonomyhome.html/index.cgi?chapter=cgencodes

See Also

trans, phyDat and the chapter 4 in the vignette("phangorn-specials", package="phangorn")

Examples

Run this code

data(Laurasiatherian)
class(Laurasiatherian)
Laurasiatherian
dna2codon(Laurasiatherian)

Run the code above in your browser using DataLab