Abstract
The genetic code is the translation table used by an organism to transform each nucleotide triplet (codon) into an amino acid. For any species, its genetic code can be predicted by comparing conserved codon sites in protein alignments of target and reference sequences. Here we describe the design and implementation of a general and improved dynamic pipeline to predict the genetic code for any genome/species, taking into account the physicochemical properties of the amino acids involved and the phylogenetic relationships of the organisms compared. © 2009 Springer Berlin Heidelberg.
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CITATION STYLE
Patricio, M., Huerta-Cepas, J., Gabaldón, T., Zardoya, R., & Posada, D. (2009). Automatic prediction of the genetic code. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5518 LNCS, pp. 1125–1129). Springer Verlag. https://doi.org/10.1007/978-3-642-02481-8_170
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