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
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10600 - Biological sciences
Result continuities
Project
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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
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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
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UT code for WoS article
000453453300025
EID of the result in the Scopus database
2-s2.0-85057154376