In addition, the position of the C with respect to the codon was also highly significant, as were the codon transition probability (likelihood that a given codon would be edited to another codon) and a preference for edits that yielded a more hydrophobic amino acid.
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Genetic algorithm learning as a robust approach to RNA editing site prediction.
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