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TYGS 和 LPSN:用于快速可靠的基于基因组的原核生物分类和命名的数据库串联。

TYGS and LPSN: a database tandem for fast and reliable genome-based classification and nomenclature of prokaryotes.

机构信息

Leibniz Institute DSMZ - German Collection of Microorganisms and Cell Cultures, Department of Bioinformatics and Databases, Inhoffenstrasse 7B, 38124 Braunschweig, Germany.

出版信息

Nucleic Acids Res. 2022 Jan 7;50(D1):D801-D807. doi: 10.1093/nar/gkab902.

Abstract

Microbial systematics is heavily influenced by genome-based methods and challenged by an ever increasing number of taxon names and associated sequences in public data repositories. This poses a challenge for database systems, particularly since it is obviously advantageous if such data are based on a globally recognized approach to manage names, such as the International Code of Nomenclature of Prokaryotes. The amount of data can only be handled if accurate and reliable high-throughput platforms are available that are able to both comply with this demand and to keep track of all changes in an efficient and flexible way. The List of Prokaryotic names with Standing in Nomenclature (LPSN) is an expert-curated authoritative resource for prokaryotic nomenclature and is available at https://lpsn.dsmz.de. The Type (Strain) Genome Server (TYGS) is a high-throughput platform for accurate genome-based taxonomy and is available at https://tygs.dsmz.de. We here present important updates of these two previously introduced, heavily interconnected platforms for taxonomic nomenclature and classification, including new high-level facilities providing access to bioinformatic algorithms, a considerable expansion of the database content, and new ways to easily access the data.

摘要

微生物系统学深受基于基因组的方法的影响,并受到公共数据存储库中不断增加的分类单元名称和相关序列的挑战。这对数据库系统提出了挑战,特别是如果这些数据基于一种全球公认的方法来管理名称,例如国际原核生物命名法规,那么这显然是有利的。只有在有准确可靠的高通量平台的情况下,才能处理这些数据,这些平台不仅能够满足这一需求,还能够以高效和灵活的方式跟踪所有的变化。原核生物名称的有地位的列表(List of Prokaryotic names with Standing in Nomenclature,LPSN)是一个由专家编纂的原核生物命名权威资源,可在 https://lpsn.dsmz.de 上获取。类型(株)基因组服务器(Type (Strain) Genome Server,TYGS)是一个用于准确基于基因组的分类学的高通量平台,可在 https://tygs.dsmz.de 上获取。我们在此介绍这两个之前介绍的、高度互联的分类学命名和分类平台的重要更新,包括提供对生物信息学算法访问的新高级功能、数据库内容的大幅扩展,以及轻松访问数据的新方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/334d/8728197/ccc73ae0bd1f/gkab902fig1.jpg

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