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PhageWeb – Web Interface for Rapid Identification and Characterization of Prophages in Bacterial Genomes
This study developed a computational tool with a graphical interface and a web-service that allows the identification of phage regions through homology search and gene clustering. It uses G+C content variation evaluation and tRNA prediction sites as evidence to reinforce the presence of prophages in...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6305541/ https://www.ncbi.nlm.nih.gov/pubmed/30619469 http://dx.doi.org/10.3389/fgene.2018.00644 |
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author | de Sousa, Ailton Lopes Maués, Dener Lobato, Amália Franco, Edian F. Pinheiro, Kenny Araújo, Fabrício Pantoja, Yan da Costa da Silva, Artur Luiz Morais, Jefferson Ramos, Rommel T. J. |
author_facet | de Sousa, Ailton Lopes Maués, Dener Lobato, Amália Franco, Edian F. Pinheiro, Kenny Araújo, Fabrício Pantoja, Yan da Costa da Silva, Artur Luiz Morais, Jefferson Ramos, Rommel T. J. |
author_sort | de Sousa, Ailton Lopes |
collection | PubMed |
description | This study developed a computational tool with a graphical interface and a web-service that allows the identification of phage regions through homology search and gene clustering. It uses G+C content variation evaluation and tRNA prediction sites as evidence to reinforce the presence of prophages in indeterminate regions. Also, it performs the functional characterization of the prophages regions through data integration of biological databases. The performance of PhageWeb was compared to other available tools (PHASTER, Prophinder, and PhiSpy) using Sensitivity (Sn) and Positive Predictive Value (PPV) tests. As a reference for the tests, more than 80 manually annotated genomes were used. In the PhageWeb analysis, the Sn index was 86.1% and the PPV was approximately 87%, while the second best tool presented Sn and PPV values of 83.3 and 86.5%, respectively. These numbers allowed us to observe a greater precision in the regions identified by PhageWeb while compared to other prediction tools submitted to the same tests. Additionally, PhageWeb was much faster than the other computational alternatives, decreasing the processing time to approximately one-ninth of the time required by the second best software. PhageWeb is freely available at http://computationalbiology.ufpa.br/phageweb. |
format | Online Article Text |
id | pubmed-6305541 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-63055412019-01-07 PhageWeb – Web Interface for Rapid Identification and Characterization of Prophages in Bacterial Genomes de Sousa, Ailton Lopes Maués, Dener Lobato, Amália Franco, Edian F. Pinheiro, Kenny Araújo, Fabrício Pantoja, Yan da Costa da Silva, Artur Luiz Morais, Jefferson Ramos, Rommel T. J. Front Genet Genetics This study developed a computational tool with a graphical interface and a web-service that allows the identification of phage regions through homology search and gene clustering. It uses G+C content variation evaluation and tRNA prediction sites as evidence to reinforce the presence of prophages in indeterminate regions. Also, it performs the functional characterization of the prophages regions through data integration of biological databases. The performance of PhageWeb was compared to other available tools (PHASTER, Prophinder, and PhiSpy) using Sensitivity (Sn) and Positive Predictive Value (PPV) tests. As a reference for the tests, more than 80 manually annotated genomes were used. In the PhageWeb analysis, the Sn index was 86.1% and the PPV was approximately 87%, while the second best tool presented Sn and PPV values of 83.3 and 86.5%, respectively. These numbers allowed us to observe a greater precision in the regions identified by PhageWeb while compared to other prediction tools submitted to the same tests. Additionally, PhageWeb was much faster than the other computational alternatives, decreasing the processing time to approximately one-ninth of the time required by the second best software. PhageWeb is freely available at http://computationalbiology.ufpa.br/phageweb. Frontiers Media S.A. 2018-12-18 /pmc/articles/PMC6305541/ /pubmed/30619469 http://dx.doi.org/10.3389/fgene.2018.00644 Text en Copyright © 2018 Sousa, Maués, Lobato, Franco, Pinheiro, Araújo, Pantoja, Costa da Silva, Morais and Ramos. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Genetics de Sousa, Ailton Lopes Maués, Dener Lobato, Amália Franco, Edian F. Pinheiro, Kenny Araújo, Fabrício Pantoja, Yan da Costa da Silva, Artur Luiz Morais, Jefferson Ramos, Rommel T. J. PhageWeb – Web Interface for Rapid Identification and Characterization of Prophages in Bacterial Genomes |
title | PhageWeb – Web Interface for Rapid Identification and Characterization of Prophages in Bacterial Genomes |
title_full | PhageWeb – Web Interface for Rapid Identification and Characterization of Prophages in Bacterial Genomes |
title_fullStr | PhageWeb – Web Interface for Rapid Identification and Characterization of Prophages in Bacterial Genomes |
title_full_unstemmed | PhageWeb – Web Interface for Rapid Identification and Characterization of Prophages in Bacterial Genomes |
title_short | PhageWeb – Web Interface for Rapid Identification and Characterization of Prophages in Bacterial Genomes |
title_sort | phageweb – web interface for rapid identification and characterization of prophages in bacterial genomes |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6305541/ https://www.ncbi.nlm.nih.gov/pubmed/30619469 http://dx.doi.org/10.3389/fgene.2018.00644 |
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