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GenDecoder: genetic code prediction for metazoan mitochondria
Author(s) -
Federico Abascal,
Rafael Zardoya,
David Posada
Publication year - 2006
Publication title -
nucleic acids research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 9.008
H-Index - 537
eISSN - 1362-4954
pISSN - 0305-1048
DOI - 10.1093/nar/gkl044
Subject(s) - biology , genetic code , organism , web server , code (set theory) , mitochondrial dna , computational biology , source code , range (aeronautics) , genetics , amino acid , computer science , gene , programming language , the internet , set (abstract data type) , materials science , world wide web , composite material
Although the majority of the organisms use the same genetic code to translate DNA, several variants have been described in a wide range of organisms, both in nuclear and organellar systems, many of them corresponding to metazoan mitochondria. These variants are usually found by comparative sequence analyses, either conducted manually or with the computer. Basically, when a particular codon in a query-species is linked to positions for which a specific amino acid is consistently found in other species, then that particular codon is expected to translate as that specific amino acid. Importantly, and despite the simplicity of this approach, there are no available tools to help predicting the genetic code of an organism. We present here GenDecoder, a web server for the characterization and prediction of mitochondrial genetic codes in animals. The analysis of automatic predictions for 681 metazoans aimed us to study some properties of the comparative method, in particular, the relationship among sequence conservation, taxonomic sampling and reliability of assignments. Overall, the method is highly precise (99%), although highly divergent organisms such as platyhelminths are more problematic. The GenDecoder web server is freely available from http://darwin.uvigo.es/software/gendecoder.html.

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