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T-RECs: rapid and large-scale detection of recombination events among different evolutionary lineages of viral genomes
BACKGROUND: Many computational tools that detect recombination in viruses are not adapted for the ongoing genomic revolution. A computational tool is needed, that will rapidly scan hundreds/thousands of genomes or sequence fragments and detect candidate recombination events that may later be further...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5216575/ https://www.ncbi.nlm.nih.gov/pubmed/28056784 http://dx.doi.org/10.1186/s12859-016-1420-z |
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author | Tsimpidis, Michail Bachoumis, Georgios Mimouli, Kalliopi Kyriakopoulou, Zaharoula Robertson, David L. Markoulatos, Panayotis Amoutzias, Grigoris D. |
author_facet | Tsimpidis, Michail Bachoumis, Georgios Mimouli, Kalliopi Kyriakopoulou, Zaharoula Robertson, David L. Markoulatos, Panayotis Amoutzias, Grigoris D. |
author_sort | Tsimpidis, Michail |
collection | PubMed |
description | BACKGROUND: Many computational tools that detect recombination in viruses are not adapted for the ongoing genomic revolution. A computational tool is needed, that will rapidly scan hundreds/thousands of genomes or sequence fragments and detect candidate recombination events that may later be further analyzed with more sensitive and specialized methods. RESULTS: T-RECs, a Windows based graphical tool, employs pairwise alignment of sliding windows and can perform (i) genotyping, (ii) clustering of new genomes, (iii) detect recent recombination events among different evolutionary lineages, (iv) manual inspection of detected recombination events by similarity plots and (v) annotation of genomic regions. CONCLUSIONS: T-RECs is very effective, as demonstrated by an analysis of 555 Norovirus complete genomes and 2500 sequence fragments, where a recombination hotspot was identified at the ORF1-ORF2 junction. |
format | Online Article Text |
id | pubmed-5216575 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-52165752017-01-09 T-RECs: rapid and large-scale detection of recombination events among different evolutionary lineages of viral genomes Tsimpidis, Michail Bachoumis, Georgios Mimouli, Kalliopi Kyriakopoulou, Zaharoula Robertson, David L. Markoulatos, Panayotis Amoutzias, Grigoris D. BMC Bioinformatics Software BACKGROUND: Many computational tools that detect recombination in viruses are not adapted for the ongoing genomic revolution. A computational tool is needed, that will rapidly scan hundreds/thousands of genomes or sequence fragments and detect candidate recombination events that may later be further analyzed with more sensitive and specialized methods. RESULTS: T-RECs, a Windows based graphical tool, employs pairwise alignment of sliding windows and can perform (i) genotyping, (ii) clustering of new genomes, (iii) detect recent recombination events among different evolutionary lineages, (iv) manual inspection of detected recombination events by similarity plots and (v) annotation of genomic regions. CONCLUSIONS: T-RECs is very effective, as demonstrated by an analysis of 555 Norovirus complete genomes and 2500 sequence fragments, where a recombination hotspot was identified at the ORF1-ORF2 junction. BioMed Central 2017-01-05 /pmc/articles/PMC5216575/ /pubmed/28056784 http://dx.doi.org/10.1186/s12859-016-1420-z Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Software Tsimpidis, Michail Bachoumis, Georgios Mimouli, Kalliopi Kyriakopoulou, Zaharoula Robertson, David L. Markoulatos, Panayotis Amoutzias, Grigoris D. T-RECs: rapid and large-scale detection of recombination events among different evolutionary lineages of viral genomes |
title | T-RECs: rapid and large-scale detection of recombination events among different evolutionary lineages of viral genomes |
title_full | T-RECs: rapid and large-scale detection of recombination events among different evolutionary lineages of viral genomes |
title_fullStr | T-RECs: rapid and large-scale detection of recombination events among different evolutionary lineages of viral genomes |
title_full_unstemmed | T-RECs: rapid and large-scale detection of recombination events among different evolutionary lineages of viral genomes |
title_short | T-RECs: rapid and large-scale detection of recombination events among different evolutionary lineages of viral genomes |
title_sort | t-recs: rapid and large-scale detection of recombination events among different evolutionary lineages of viral genomes |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5216575/ https://www.ncbi.nlm.nih.gov/pubmed/28056784 http://dx.doi.org/10.1186/s12859-016-1420-z |
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