SnapperDB: a database solution for routine sequencing analysis of bacterial isolates
SnapperDB: a database solution for routine sequencing analysis of bacterial isolates
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DOI：
10.1093/bioinformatics/bty212
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发表时间：
2018-09-01
期刊：
影响因子：
5.8
通讯作者：
Grant, Kathie
中科院分区：
文献类型：
--
作者：
Dallman, Timothy;Ashton, Philip;Grant, Kathie
摘要：使用全基因组测序数据对传染病进行实时监测在结果生成和交流方面都提出了挑战。SnapperDB代表了一套工具，用于存储细菌变异数据，并促进细菌种群的可重复性和可伸缩性分析。我们还引入了‘SNP地址’命名法来描述种群中分离株与单核苷酸解析之间的关系。我们宣布发布SnapperDB v1.0，这是一个用于可扩展的常规SNP分析和微生物种群存储的程序。
The Summary: Real-time surveillance of infectious disease using whole genome sequencing data poses challenges in both result generation and communication. SnapperDB represents a set of tools to store bacterial variant data and facilitate reproducible and scalable analysis of bacterial populations. We also introduce the 'SNP address' nomenclature to describe the relationship between isolates in a population to the single nucleotide resolution. We announce the release of SnapperDB v1.0 a program for scalable routine SNP analysis and storage of microbial populations.