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RNAcanvas: interactive drawing and exploration of nucleic acid structures.
Johnson, Philip Z; Simon, Anne E.
Afiliação
  • Johnson PZ; Department of Cell Biology and Molecular Genetics, University of Maryland, College Park, MD20742, USA.
  • Simon AE; Department of Cell Biology and Molecular Genetics, University of Maryland, College Park, MD20742, USA.
Nucleic Acids Res ; 51(W1): W501-W508, 2023 07 05.
Article em En | MEDLINE | ID: mdl-37094080
Two-dimensional drawing of nucleic acid structures, particularly RNA structures, is fundamental to the communication of nucleic acids research. However, manually drawing structures is laborious and infeasible for structures thousands of nucleotides long. RNAcanvas automatically arranges residues into strictly shaped stems and loops while providing robust interactive editing features, including click-and-drag layout adjustment. Drawn elements are highly customizable in a point-and-click manner, including colours, fonts, size and shading, flexible numbering, and outlining of bases. Tertiary interactions can be drawn as draggable, curved lines. Leontis-Westhof notation for depicting non-canonical base-pairs is fully supported, as well as text labels for structural features (e.g. hairpins). RNAcanvas also has many unique features and performance optimizations for large structures that cannot be correctly predicted and require manual refinement based on the researcher's own analyses and expertise. To this end, RNAcanvas has point-and-click structure editing with real-time highlighting of complementary sequences and motif search functionality, novel features that greatly aid in the identification of putative long-range tertiary interactions, de novo analysis of local structures, and phylogenetic comparisons. For ease in producing publication quality figures, drawings can be exported in both SVG and PowerPoint formats. URL: https://rnacanvas.app.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / RNA Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / RNA Idioma: En Ano de publicação: 2023 Tipo de documento: Article