Multiple 3D RNA Structure Superposition Using Neighbor Joining
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22310%2F15%3A43900537" target="_blank" >RIV/60461373:22310/15:43900537 - isvavai.cz</a>
Alternative codes found
RIV/00216208:11320/15:10275738
Result on the web
<a href="http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6883172" target="_blank" >http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6883172</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/TCBB.2014.2351810" target="_blank" >10.1109/TCBB.2014.2351810</a>
Alternative languages
Result language
angličtina
Original language name
Multiple 3D RNA Structure Superposition Using Neighbor Joining
Original language description
Recent advances in RNA research and the steady growth of available RNA structures call for bioinformatics methods for handling and analyzing RNA structural data. Recently, we introduced SETTER-a fast and accurate method for RNA pairwise structure alignment. In this paper, we describe MultiSETTER, SETTER extension for multiple RNA structure alignment. MultiSETTER combines SETTER's decomposition of RNA structures into non-overlapping structural subunits with the multiple sequence alignment algorithm ClustalW adapted for the structure alignment. The accuracy of MultiSETTER was assessed by the automatic classification of RNA structures and its comparison to SCOR annotations. In addition, MultiSETTER classification was also compared to multiple sequence alignment-based and secondary structure alignment-based classifications provided by LocARNA and RNADistance tools, respectively. MultiSETTER precompiled Windows libraries, as well as the C++ source code, are freely available from http://siret.cz/multisetter.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GAP202%2F11%2F0968" target="_blank" >GAP202/11/0968: Large-scale Nonmetric Similarity Search in Complex Domains</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
ISSN
1545-5963
e-ISSN
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Volume of the periodical
12
Issue of the periodical within the volume
3
Country of publishing house
US - UNITED STATES
Number of pages
11
Pages from-to
520-530
UT code for WoS article
000359281500003
EID of the result in the Scopus database
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