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tRNAviz: explore and visualize tRNA sequence features.
Lin, Brian Y; Chan, Patricia P; Lowe, Todd M.
Afiliación
  • Lin BY; Department of Biomolecular Engineering, University of California Santa Cruz, CA 95064, USA.
  • Chan PP; Department of Biomolecular Engineering, University of California Santa Cruz, CA 95064, USA.
  • Lowe TM; Department of Biomolecular Engineering, University of California Santa Cruz, CA 95064, USA.
Nucleic Acids Res ; 47(W1): W542-W547, 2019 07 02.
Article en En | MEDLINE | ID: mdl-31127306
ABSTRACT
Transfer RNAs (tRNAs) are ubiquitous across the tree of life. Although tRNA structure is highly conserved, there is still significant variation in sequence features between clades, isotypes and even isodecoders. This variation not only impacts translation, but as shown by a variety of recent studies, nontranslation-associated functions are also sensitive to small changes in tRNA sequence. Despite the rapidly growing number of sequenced genomes, there is a lack of tools for both small- and large-scale comparative genomics analysis of tRNA sequence features. Here, we have integrated over 150 000 tRNAs spanning all domains of life into tRNAviz, a web application for exploring and visualizing tRNA sequence features. tRNAviz implements a framework for determining consensus sequence features and can generate sequence feature distributions by isotypes, clades and anticodons, among other tRNA properties such as score. All visualizations are interactive and exportable. The web server is publicly available at http//trna.ucsc.edu/tRNAviz/.
Asunto(s)

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Programas Informáticos / ARN de Transferencia Idioma: En Revista: Nucleic Acids Res Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Programas Informáticos / ARN de Transferencia Idioma: En Revista: Nucleic Acids Res Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos