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tRNAscan-SE: A Program for Improved Detection of Transfer RNA Genes in Genomic Sequence

Todd M. Lowe; Sean R. Eddy · Nucleic Acids Research · 1997

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Author / responsible party
Todd M. Lowe; Sean R. Eddy
Publisher
Nucleic Acids Research
Year
1997
Language
English

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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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APA 7

Lowe, T. M. & Eddy, S. R. (1997). tRNAscan-SE: A Program for Improved Detection of Transfer RNA Genes in Genomic Sequence. https://doi.org/10.1093/nar/25.5.955

MLA

Lowe, Todd M, and Sean R. Eddy. "tRNAscan-SE: A Program for Improved Detection of Transfer RNA Genes in Genomic Sequence." 1997. https://doi.org/10.1093/nar/25.5.955.

Chicago

Lowe, Todd M. and Sean R. Eddy. 1997. "tRNAscan-SE: A Program for Improved Detection of Transfer RNA Genes in Genomic Sequence.". https://doi.org/10.1093/nar/25.5.955.

Harvard

Lowe, T. M. and Eddy, S. R. 1997, tRNAscan-SE: A Program for Improved Detection of Transfer RNA Genes in Genomic Sequence, Nucleic Acids Research, available at: https://doi.org/10.1093/nar/25.5.955 [Accessed 7 Aug. 2026].

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Title
tRNAscan-SE: A Program for Improved Detection of Transfer RNA Genes in Genomic Sequence
Author / contributors
Todd M. Lowe; Sean R. Eddy
Publisher
Nucleic Acids Research
Publication year
1997
Language
English

Subjects

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Transfer RNA; Biology; Genetics; Gene; RNA; Computational biology; Sequence (biology); Context (archaeology); Selenocysteine; Covariance; Biochemistry; Mathematics
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