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Gen2Epi:淋病奈瑟菌全基因组测序与抗生素药敏及分子流行病学数据关联的自动化分析流程。

Gen2Epi: an automated whole-genome sequencing pipeline for linking full genomes to antimicrobial susceptibility and molecular epidemiological data in Neisseria gonorrhoeae.

机构信息

Department of Biochemistry Microbiology and Immunology, 2D01 Health Science Building, 107 Wiggins Road, University of Saskatchewan, Saskatoon, SK, S7N5E5, Canada.

Vaccine and Infectious Disease Organization-International Vaccine Centre, University of Saskatchewan, 120 Veterinary Road, Saskatoon, SK, S7N5E3, Canada.

出版信息

BMC Genomics. 2019 Mar 4;20(1):165. doi: 10.1186/s12864-019-5542-3.

Abstract

BACKGROUND

Recent adva1nces in whole genome sequencing (WGS) based technologies have facilitated multi-step applications for predicting antimicrobial resistance (AMR) and investigating the molecular epidemiology of Neisseria gonorrhoeae. However, generating full scaffolds of N. gonorrhoeae genomes from short reads, and the assignment of molecular epidemiological information (NG-MLST, NG-MAST, and NG-STAR) to multiple assembled samples, is challenging due to required manual tasks such as annotating antimicrobial resistance determinants with standard nomenclature for a large number of genomes.

RESULTS

We present Gen2Epi, a pipeline that assembles short reads into full scaffolds and automatically assigns molecular epidemiological and AMR information to the assembled genomes. Gen2Epi is a command-line tool integrating third-party software and tailored specifically for N. gonorrhoeae. For its evaluation, the Gen2Epi pipeline successfully assembled the WGS short reads from 1484 N. gonorrhoeae samples into full-length genomes for both chromosomes and plasmids and was able to assign in silico molecular determinant information to each dataset automatically. The assemblies were generated using raw as well as trimmed short reads. The median genome coverage of full-length scaffolds and "N" statistics (N50, NG50, and NGA50) were higher than, or comparable to, previously published results and the scaffolding process improved the quality of the draft genome assemblies. Molecular antimicrobial resistant (AMR) determinants identified by Gen2Epi reproduced information for the 1484 samples as previously reported, including NG-MLST, NG-MAST, and NG-STAR molecular sequence types.

CONCLUSIONS

Gen2Epi can be used to assemble short reads into full-length genomes and assign accurate molecular marker and AMR information automatically from NG-STAR, NG-MAST, and NG-MLST. Gen2Epi is publicly available under "CC BY-NC 2.0 CA" Creative Commons licensing as a VirtualBox image containing the constituent software components running on the LINUX operating system (CentOS 7). The image and associated documentation are available via anonymous FTP at ftp://www.cs.usask.ca/pub/combi or ftp://ftp.cs.usask.ca/pub/combi.

摘要

背景

全基因组测序(WGS)技术的最新进展促进了预测抗生素耐药性(AMR)和调查淋病奈瑟菌分子流行病学的多步骤应用。然而,由于需要手动任务,例如用标准命名法对大量基因组进行注释抗生素耐药决定因素,因此从短读序列生成淋病奈瑟菌基因组的完整支架以及将分子流行病学信息(NG-MLST、NG-MAST 和 NG-STAR)分配给多个组装样本是具有挑战性的。

结果

我们提出了 Gen2Epi,这是一个将短读序列组装成完整支架并自动将分子流行病学和 AMR 信息分配给组装基因组的管道。Gen2Epi 是一个命令行工具,集成了第三方软件,并专门针对淋病奈瑟菌进行了定制。在评估中,Gen2Epi 管道成功地将来自 1484 个淋病奈瑟菌样本的 WGS 短读序列组装成完整的染色体和质粒全长基因组,并能够自动为每个数据集分配原位分子决定因素信息。组装是使用原始和修剪的短读序列生成的。全长支架的基因组覆盖率中位数和“N”统计数据(N50、NG50 和 NGA50)高于或可与以前发表的结果相媲美,并且支架过程提高了草图基因组组装的质量。Gen2Epi 鉴定的分子抗生素耐药(AMR)决定因素复制了 1484 个样本的信息,如以前报道的包括 NG-MLST、NG-MAST 和 NG-STAR 分子序列类型。

结论

Gen2Epi 可用于将短读序列组装成全长基因组,并自动从 NG-STAR、NG-MAST 和 NG-MLST 分配准确的分子标记和 AMR 信息。Gen2Epi 以包含在 Linux 操作系统(CentOS 7)上运行的组成软件组件的 VirtualBox 映像的形式根据“CC BY-NC 2.0 CA”创作共用许可获得许可,并作为公共资源提供。该映像和相关文档可通过匿名 FTP 在 ftp://www.cs.usask.ca/pub/combiftp://ftp.cs.usask.ca/pub/combi 上获得。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b703/6398234/066007da3717/12864_2019_5542_Fig1_HTML.jpg

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