Article (Scientific journals)
MolArt: a molecular structure annotation and visualization tool
Hoksza, David; Gawron, Piotr; Ostaszewski, Marek et al.
2018In Bioinformatics
Peer reviewed
 

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Abstract :
[en] 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.
Research center :
- Luxembourg Centre for Systems Biomedicine (LCSB): Bioinformatics Core (R. Schneider Group)
Disciplines :
Computer science
Author, co-author :
Hoksza, David ;  University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) ; Charles University > Department of Software Engineering
Gawron, Piotr ;  University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB)
Ostaszewski, Marek  ;  University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB)
Schneider, Reinhard ;  University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB)
External co-authors :
yes
Language :
English
Title :
MolArt: a molecular structure annotation and visualization tool
Publication date :
19 June 2018
Journal title :
Bioinformatics
ISSN :
1367-4803
eISSN :
1367-4811
Publisher :
Oxford University Press, Oxford, United Kingdom
Peer reviewed :
Peer reviewed
Focus Area :
Computational Sciences
Available on ORBilu :
since 14 December 2018

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