Influenza sequence validation and annotation using VADR.

IF 3.4 4区 生物学 Q1 MATHEMATICAL & COMPUTATIONAL BIOLOGY
Vincent C Calhoun, Eneida L Hatcher, Linda Yankie, Eric P Nawrocki
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引用次数: 0

Abstract

Tens of thousands of influenza sequences are deposited into the GenBank database each year. The software tool FLu ANnotation tool (FLAN) has been used by GenBank since 2007 to validate and annotate incoming influenza sequence submissions and has been publicly available as a webserver but not as a standalone tool. Viral Annotation DefineR (VADR) is a general sequence validation and annotation software package used by GenBank for norovirus, dengue virus and SARS-CoV-2 virus sequence processing that is available as a standalone tool. We have created VADR influenza models based on the FLAN reference sequences and adapted VADR to accurately annotate influenza sequences. VADR and FLAN show consistent results on the vast majority of influenza sequences, and when they disagree, VADR is usually correct. VADR can also accurately process influenza D sequences as well as influenza A H17, H18, H19, N10 and N11 subtype sequences, which FLAN cannot. VADR 1.6.3 and the associated influenza models are now freely available for users to download and use. Database URL: https://bitbucket.org/nawrockie/vadr-models-flu.

使用 VADR 对流感序列进行验证和注释。
每年都有数以万计的流感序列存入 GenBank 数据库。自 2007 年以来,GenBank 一直在使用 FLu ANnotation tool (FLAN) 软件工具对提交的流感序列进行验证和注释,该工具已作为网络服务器向公众开放,但不是独立的工具。Viral Annotation DefineR (VADR) 是 GenBank 用于诺如病毒、登革热病毒和 SARS-CoV-2 病毒序列处理的通用序列验证和注释软件包,可作为独立工具使用。我们以 FLAN 参考序列为基础创建了 VADR 流感模型,并对 VADR 进行了调整,以准确注释流感序列。VADR 和 FLAN 在绝大多数流感序列上显示出一致的结果,当两者出现分歧时,VADR 通常是正确的。VADR 还能准确处理 D 型流感序列以及甲型流感 H17、H18、H19、N10 和 N11 亚型序列,而 FLAN 则不能。VADR 1.6.3 和相关流感模型现在可供用户免费下载和使用。数据库网址:https://bitbucket.org/nawrockie/vadr-models-flu。
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来源期刊
Database: The Journal of Biological Databases and Curation
Database: The Journal of Biological Databases and Curation MATHEMATICAL & COMPUTATIONAL BIOLOGY-
CiteScore
9.00
自引率
3.40%
发文量
100
审稿时长
>12 weeks
期刊介绍: Huge volumes of primary data are archived in numerous open-access databases, and with new generation technologies becoming more common in laboratories, large datasets will become even more prevalent. The archiving, curation, analysis and interpretation of all of these data are a challenge. Database development and biocuration are at the forefront of the endeavor to make sense of this mounting deluge of data. Database: The Journal of Biological Databases and Curation provides an open access platform for the presentation of novel ideas in database research and biocuration, and aims to help strengthen the bridge between database developers, curators, and users.
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