ArticleMethods in molecular biology (Clifton, N.J.)2019
tRNAscan-SE: Searching for tRNA Genes in Genomic Sequences.
Article in Methods in molecular biology (Clifton, N.J.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1,218 papers, 1 of them a synthesis that pooled it.
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Who cites it
1,218 citing papers in PubMed, 1 synthesis or guideline pooled it.
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- From water to land: evolution of tRNA gene repertoires in photosynthetic organisms.The EMBO journal · 2026Review
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1,158 more citing papers are in PubMed but not listed here.
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Authors and funding
2 authors.
Funding
Abstract
Transfer RNAs are the largest, most complex non-coding RNA family, universal to all living organisms. tRNAscan-SE has been the de facto tool for predicting tRNA genes in whole genomes. The newly developed version 2.0 has incorporated advanced methodologies with improved probabilistic search software and a suite of new gene models, enabling better functional classification of predicted genes. This chapter describes the use of the UNIX command-driven and online web versions, illustrating different search modes and options.
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