Large RNA secondary structure conservation annotation using secondary structure-based MSA
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F16%3A10336791" target="_blank" >RIV/00216208:11320/16:10336791 - isvavai.cz</a>
Výsledek na webu
<a href="http://dx.doi.org/10.17706/ijbbb.2016.6.1.18-25" target="_blank" >http://dx.doi.org/10.17706/ijbbb.2016.6.1.18-25</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.17706/ijbbb.2016.6.1.18-25" target="_blank" >10.17706/ijbbb.2016.6.1.18-25</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Large RNA secondary structure conservation annotation using secondary structure-based MSA
Popis výsledku v původním jazyce
Identification of conserved regions of a set of RNA secondary structures is currently an open research problem when dealing with large RNA molecules such as ribosomal RNA. We designed and implemented a method for conservancy annotation of a set of RNA molecules using their secondary structures. The method first converts secondary structures into linear representations, which are then forwarded into multiple sequence alignment (MSA). The resulting secondary structure-based MSA is subsequently passed into a conservancy identification procedure which uses a sliding window technique to identify conserved position in the MSA and assign them a score based on the secondary structure content of the window. The algorithm can be used to rank overall conservancy of the structures, which generally denotes evolutionary distance, as well as to assign conservancy to individual bases to identify high- or lowconservancy regions. We tested the algorithm for correlation with evolutionary distance, where it matches the expectations. The method is freely available as a stand-alone tool implemented in the Python programming language
Název v anglickém jazyce
Large RNA secondary structure conservation annotation using secondary structure-based MSA
Popis výsledku anglicky
Identification of conserved regions of a set of RNA secondary structures is currently an open research problem when dealing with large RNA molecules such as ribosomal RNA. We designed and implemented a method for conservancy annotation of a set of RNA molecules using their secondary structures. The method first converts secondary structures into linear representations, which are then forwarded into multiple sequence alignment (MSA). The resulting secondary structure-based MSA is subsequently passed into a conservancy identification procedure which uses a sliding window technique to identify conserved position in the MSA and assign them a score based on the secondary structure content of the window. The algorithm can be used to rank overall conservancy of the structures, which generally denotes evolutionary distance, as well as to assign conservancy to individual bases to identify high- or lowconservancy regions. We tested the algorithm for correlation with evolutionary distance, where it matches the expectations. The method is freely available as a stand-alone tool implemented in the Python programming language
Klasifikace
Druh
J<sub>x</sub> - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
CEP obor
IN - Informatika
OECD FORD obor
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Návaznosti výsledku
Projekt
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Návaznosti
S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2016
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
International Journal of Bioscience, Biochemistry and Bioinformatics
ISSN
2010-3638
e-ISSN
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Svazek periodika
6
Číslo periodika v rámci svazku
1
Stát vydavatele periodika
US - Spojené státy americké
Počet stran výsledku
8
Strana od-do
18-25
Kód UT WoS článku
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EID výsledku v databázi Scopus
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