TBEV analyzer platform for evolutionary analysis and monitoring tick-borne encephalitis virus: 2020 update

Q3 Medicine
M. Forghani, S. Kovalev, M. Bolkov, M. Khachay, P. Vasev
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引用次数: 4

Abstract

Viral surveillance is an essential task in public health that yields specific data, such as biological and epidemiological characteristics, crucial in the fight against viruses. We have recently developed an online platform for monitoring of Tick-Borne Encephalitis Virus, TBEV Analyzer, equipped with phylogenetic analysis and geographic map visualization functions. The phylogenetic analysis employs the clusteron approach, which has been earlier proposed by one of the authors of this paper. The analysis is based on a genetic pattern and provides three-fold hierarchical information about subtype, phylogenetic lineage, and clusteron. A clusteron is a group of TBEV strains with identical amino acid sequences of the glycoprotein E fragment, as a rule phylogeographically close, and having a certain type of territorial distribution. We enhance the algorithms and quality of visualization by integrating our platform with the GenBank database, adding a heat map distribution, and providing more details in the analysis report. To demonstrate the performance of the upgraded system, we analyze recent strains published in GenBank and compare them with the results of the manual analysis performed by a specialist. The results show that the system can rapidly and accurately determine query strain characteristics. This suggests possible applications in the field of public health.
进化分析和监测蜱传脑炎病毒的bev分析平台:2020年更新
病毒监测是公共卫生领域的一项基本任务,可提供生物学和流行病学特征等具体数据,对抗击病毒至关重要。我们最近开发了一个在线监测蜱传脑炎病毒的平台,TBEV Analyzer,具有系统发育分析和地理地图可视化功能。系统发育分析采用本文作者之一较早提出的聚类分析方法。该分析基于遗传模式,并提供了关于亚型、系统发育谱系和聚类的三重层次信息。聚簇是指一组具有相同糖蛋白E片段氨基酸序列的热带病毒株,通常在系统地理上接近,并具有一定类型的地域分布。通过将我们的平台与GenBank数据库集成,增加热图分布,并在分析报告中提供更多细节,我们提高了可视化的算法和质量。为了证明升级系统的性能,我们分析了GenBank上最近发表的菌株,并将它们与专家进行的人工分析结果进行了比较。结果表明,该系统能够快速准确地确定查询应变特征。这表明了在公共卫生领域的可能应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Biostatistics and Epidemiology
Biostatistics and Epidemiology Medicine-Health Informatics
CiteScore
1.80
自引率
0.00%
发文量
23
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