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      tRNAscan-SE On-line: integrating search and context for analysis of transfer RNA genes

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      * ,
      Nucleic Acids Research
      Oxford University Press

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          Abstract

          High-throughput genome sequencing continues to grow the need for rapid, accurate genome annotation and tRNA genes constitute the largest family of essential, ever-present non-coding RNA genes. Newly developed tRNAscan-SE 2.0 has advanced the state-of-the-art methodology in tRNA gene detection and functional prediction, captured by rich new content of the companion Genomic tRNA Database. Previously, web-server tRNA detection was isolated from knowledge of existing tRNAs and their annotation. In this update of the tRNAscan-SE On-line resource, we tie together improvements in tRNA classification with greatly enhanced biological context via dynamically generated links between web server search results, the most relevant genes in the GtRNAdb and interactive, rich genome context provided by UCSC genome browsers. The tRNAscan-SE On-line web server can be accessed at http://trna.ucsc.edu/tRNAscan-SE/.

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          Most cited references6

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          GtRNAdb: a database of transfer RNA genes detected in genomic sequence

          Transfer RNAs (tRNAs) represent the single largest, best-understood class of non-protein coding RNA genes found in all living organisms. By far, the major source of new tRNAs is computational identification of genes within newly sequenced genomes. To organize the rapidly growing collection and enable systematic analyses, we created the Genomic tRNA Database (GtRNAdb), currently including over 74 000 tRNA genes predicted from 740 species. The web resource provides overview statistics of tRNA genes within each analyzed genome, including information by isotype and genetic locus, easily downloadable primary sequences, graphical secondary structures and multiple sequence alignments. Direct links for each gene to UCSC eukaryotic and microbial genome browsers provide graphical display of tRNA genes in the context of all other local genetic information. The database can be searched by primary sequence similarity, tRNA characteristics or phylogenetic group. The database is publicly available at http://gtrnadb.ucsc.edu.
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            Universal rules and idiosyncratic features in tRNA identity.

            Correct expression of the genetic code at translation is directly correlated with tRNA identity. This survey describes the molecular signals in tRNAs that trigger specific aminoacylations. For most tRNAs, determinants are located at the two distal extremities: the anticodon loop and the amino acid accepting stem. In a few tRNAs, however, major identity signals are found in the core of the molecule. Identity elements have different strengths, often depend more on k cat effects than on K m effects and exhibit additive, cooperative or anti-cooperative interplay. Most determinants are in direct contact with cognate synthetases, and chemical groups on bases or ribose moieties that make functional interactions have been identified in several systems. Major determinants are conserved in evolution; however, the mechanisms by which they are expressed are species dependent. Recent studies show that alternate identity sets can be recognized by a single synthetase, and emphasize the importance of tRNA architecture and anti-determinants preventing false recognition. Identity rules apply to tRNA-like molecules and to minimalist tRNAs. Knowledge of these rules allows the manipulation of identity elements and engineering of tRNAs with switched, altered or multiple specificities.
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              The UCSC Archaeal Genome Browser: 2012 update

              The UCSC Archaeal Genome Browser (http://archaea.ucsc.edu) offers a graphical web-based resource for exploration and discovery within archaeal and other selected microbial genomes. By bringing together existing gene annotations, gene expression data, multiple-genome alignments, pre-computed sequence comparisons and other specialized analysis tracks, the genome browser is a powerful aggregator of varied genomic information. The genome browser environment maintains the current look-and-feel of the vertebrate UCSC Genome Browser, but also integrates archaeal and bacterial-specific tracks with a few graphic display enhancements. The browser currently contains 115 archaeal genomes, plus 31 genomes of viruses known to infect archaea. Some of the recently developed or enhanced tracks visualize data from published high-throughput RNA-sequencing studies, the NCBI Conserved Domain Database, sequences from pre-genome sequencing studies, predicted gene boundaries from three different protein gene prediction algorithms, tRNAscan-SE gene predictions with RNA secondary structures and CRISPR locus predictions. We have also developed a companion resource, the Archaeal COG Browser, to provide better search and display of arCOG gene function classifications, including their phylogenetic distribution among available archaeal genomes.
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                Author and article information

                Journal
                Nucleic Acids Res
                Nucleic Acids Res
                nar
                nar
                Nucleic Acids Research
                Oxford University Press
                0305-1048
                1362-4962
                08 July 2016
                12 May 2016
                12 May 2016
                : 44
                : Web Server issue
                : W54-W57
                Affiliations
                Department of Biomolecular Engineering, University of California Santa Cruz, CA 95064, USA
                Author notes
                [* ]To whom correspondence should be addressed. Tel: +1 831 459 1511; Fax: +1 831 459 4829; Email: lowe@ 123456soe.ucsc.edu
                Article
                10.1093/nar/gkw413
                4987944
                27174935
                1f1f66db-c935-4e81-8b31-7bea2b5e0e1e
                © The Author(s) 2016. Published by Oxford University Press on behalf of Nucleic Acids Research.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@ 123456oup.com

                History
                : 04 May 2016
                : 29 April 2016
                : 13 March 2016
                Page count
                Pages: 4
                Categories
                Web Server issue
                Custom metadata
                08 July 2016

                Genetics
                Genetics

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