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MolArt: a molecular structure annotation and visualization tool

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F18%3A10391595" target="_blank" >RIV/00216208:11320/18:10391595 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1093/bioinformatics/bty489" target="_blank" >http://dx.doi.org/10.1093/bioinformatics/bty489</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1093/bioinformatics/bty489" target="_blank" >10.1093/bioinformatics/bty489</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    MolArt: a molecular structure annotation and visualization tool

  • Original language description

    Summary MolArt fills the gap between sequence and structure visualization by providing a light-weight, interactive environment enabling exploration of sequence annotations in the context of available experimental or predicted protein structures. Provided a UniProt ID, MolArt downloads and displays sequence annotations, sequence-structure mapping and relevant structures. The sequence and structure views are interlinked, enabling sequence annotations being color overlaid over the mapped structures, thus providing an enhanced understanding and interpretation of the available molecular data. Availability and implementation MolArt is released under the Apache 2 license and is available at https://github.com/davidhoksza/MolArt. The project web page https://davidhoksza.github.io/MolArt/ features examples and applications of the tool.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10600 - Biological sciences

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2018

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Bioinformatics

  • ISSN

    1367-4803

  • e-ISSN

  • Volume of the periodical

    34

  • Issue of the periodical within the volume

    23

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    2

  • Pages from-to

  • UT code for WoS article

    000453453300025

  • EID of the result in the Scopus database

    2-s2.0-85057154376