期刊
FRONTIERS IN GENETICS
卷 9, 期 -, 页码 -出版社
FRONTIERS MEDIA SA
DOI: 10.3389/fgene.2018.00644
关键词
phage; prophage; clustering; web interface; web service; characterization; bacterial genome
资金
- CNPq (Conselho Nacional de Pesquisa Cientifica) [421528/2016-8, 304711/2015-2]
- CAPES (Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior)
- PROPESP/UFPA (Pro-Reitoria de Pesquisa e Pos Graduacao/Universidade Federal do Para)
This study developed a computational tool with a graphical interface and a webservice 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 oneninth of the time required by the second best software. PhageWeb is freely available at http://computationalbiology.ufpa.br/phageweb.
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