TE-greedy-nester: structure-based detection of LTR retrotransposons and their nesting
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F20%3A00118965" target="_blank" >RIV/00216224:14330/20:00118965 - isvavai.cz</a>
Nalezeny alternativní kódy
RIV/68081707:_____/20:00539921
Výsledek na webu
<a href="https://academic.oup.com/bioinformatics/article/36/20/4991/5871348" target="_blank" >https://academic.oup.com/bioinformatics/article/36/20/4991/5871348</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1093/bioinformatics/btaa632" target="_blank" >10.1093/bioinformatics/btaa632</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
TE-greedy-nester: structure-based detection of LTR retrotransposons and their nesting
Popis výsledku v původním jazyce
Transposable elements (TEs) in eukaryotes often get inserted into one another, forming sequences that become a complex mixture of full-length elements and their fragments. The reconstruction of full-length elements and the order in which they have been inserted is important for genome and transposon evolution studies. However, the accumulation of mutations and genome rearrangements over evolutionary time makes this process error-prone and decreases the efficiency of software aiming to recover all nested full-length TEs. We created software that uses a greedy recursive algorithm to mine increasingly fragmented copies of full-length LTR retrotransposons in assembled genomes and other sequence data. The software called TE-greedy-nester considers not only sequence similarity but also the structure of elements. This new tool was tested on a set of natural and synthetic sequences and its accuracy was compared to similar software. We found TE-greedy-nester to be superior in a number of parameters, namely computation time and full-length TE recovery in highly nested regions.
Název v anglickém jazyce
TE-greedy-nester: structure-based detection of LTR retrotransposons and their nesting
Popis výsledku anglicky
Transposable elements (TEs) in eukaryotes often get inserted into one another, forming sequences that become a complex mixture of full-length elements and their fragments. The reconstruction of full-length elements and the order in which they have been inserted is important for genome and transposon evolution studies. However, the accumulation of mutations and genome rearrangements over evolutionary time makes this process error-prone and decreases the efficiency of software aiming to recover all nested full-length TEs. We created software that uses a greedy recursive algorithm to mine increasingly fragmented copies of full-length LTR retrotransposons in assembled genomes and other sequence data. The software called TE-greedy-nester considers not only sequence similarity but also the structure of elements. This new tool was tested on a set of natural and synthetic sequences and its accuracy was compared to similar software. We found TE-greedy-nester to be superior in a number of parameters, namely computation time and full-length TE recovery in highly nested regions.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Návaznosti výsledku
Projekt
<a href="/cs/project/GA18-00258S" target="_blank" >GA18-00258S: Úloha transposonů v dynamice rostlinných genomů</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2020
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Bioinformatics
ISSN
1367-4803
e-ISSN
—
Svazek periodika
36
Číslo periodika v rámci svazku
20
Stát vydavatele periodika
GB - Spojené království Velké Británie a Severního Irska
Počet stran výsledku
9
Strana od-do
4991-4999
Kód UT WoS článku
000605690100003
EID výsledku v databázi Scopus
2-s2.0-85098877885