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We describe a program, tRNAscan-SE, which identifies 99-100% of transfer RNA genes in DNA sequence while giving less than one false positive per 15 gigabases. Two previously described tRNA detection programs are used as fast, first-pass prefilters to identify candidate tRNAs, which are then analyzed by a highly selective tRNA covariance model. This work represents a practical application of RNA covariance models, which are general, probabilistic secondary structure profiles based on stochastic context-free grammars. tRNAscan-SE searches at approximately 30 000 bp/s. Additional extensions to tRNAscan-SE detect unusual tRNA homologues such as selenocysteine tRNAs, tRNA-derived repetitive elements and tRNA pseudogenes.
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Todd M. Lowe
Sean R. Eddy
Nucleic Acids Research
Washington University in St. Louis
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Lowe et al. (Sat,) studied this question.
www.synapsesocial.com/papers/69d7584b086f9d6299f3085c — DOI: https://doi.org/10.1093/nar/25.5.955