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用于系统发育基因组学流程的全基因组序列基准数据集。

Whole-Genome Sequence Benchmark Dataset for Phylogenomic Pipelines.

作者信息

Welsh Rory M, Misas Elizabeth, Forsberg Kaitlin, Lyman Meghan, Chow Nancy A

机构信息

Mycotic Diseases Branch, Centers for Disease Control and Prevention, Atlanta, GA 30333, USA.

出版信息

J Fungi (Basel). 2021 Mar 16;7(3):214. doi: 10.3390/jof7030214.

Abstract

is a multidrug-resistant pathogen that represents a serious public health threat due to its rapid global emergence, increasing incidence of healthcare-associated outbreaks, and high rates of antifungal resistance. Whole-genome sequencing and genomic surveillance have the potential to bolster surveillance networks moving forward. Laboratories conducting genomic surveillance need to be able to compare analyses from various national and international surveillance partners to ensure that results are mutually trusted and understood. Therefore, we established an empirical outbreak benchmark dataset consisting of 23 genomes to help validate comparisons of genomic analyses and facilitate communication among surveillance networks. Our outbreak benchmark dataset represents a polyclonal phylogeny with three subclades. The genomes in this dataset are from well-vetted studies that are supported by multiple lines of evidence, which demonstrate that the whole-genome sequencing data, phylogenetic tree, and epidemiological data are all in agreement. This benchmark set allows for standardized comparisons of phylogenomic pipelines, ultimately promoting effective collaborations.

摘要

是一种多重耐药病原体,由于其在全球迅速出现、医疗保健相关疫情的发病率不断上升以及抗真菌耐药率高,对公共卫生构成严重威胁。全基因组测序和基因组监测有潜力加强未来的监测网络。进行基因组监测的实验室需要能够比较来自不同国家和国际监测伙伴的分析结果,以确保结果得到相互信任和理解。因此,我们建立了一个由23个基因组组成的经验性疫情基准数据集,以帮助验证基因组分析的比较,并促进监测网络之间的沟通。我们的疫情基准数据集代表了一个具有三个亚分支的多克隆系统发育。该数据集中的基因组来自经过充分审查的研究,这些研究有多项证据支持,表明全基因组测序数据、系统发育树和流行病学数据均一致。这个基准集允许对系统发育基因组流程进行标准化比较,最终促进有效的合作。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/03a2/8002225/55069a8436d1/jof-07-00214-g001.jpg

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