Suppr超能文献

公共卫生实验室中全基因组序列数据的生物信息学分析

Bioinformatic Analyses of Whole-Genome Sequence Data in a Public Health Laboratory.

作者信息

Oakeson Kelly F, Wagner Jennifer Marie, Mendenhall Michelle, Rohrwasser Andreas, Atkinson-Dunn Robyn

出版信息

Emerg Infect Dis. 2017 Sep;23(9):1441-1445. doi: 10.3201/eid2309.170416.

Abstract

The ability to generate high-quality sequence data in a public health laboratory enables the identification of pathogenic strains, the determination of relatedness among outbreak strains, and the analysis of genetic information regarding virulence and antimicrobial-resistance genes. However, the analysis of whole-genome sequence data depends on bioinformatic analysis tools and processes. Many public health laboratories do not have the bioinformatic capabilities to analyze the data generated from sequencing and therefore are unable to take full advantage of the power of whole-genome sequencing. The goal of this perspective is to provide a guide for laboratories to understand the bioinformatic analyses that are needed to interpret whole-genome sequence data and how these in silico analyses can be implemented in a public health laboratory setting easily, affordably, and, in some cases, without the need for intensive computing resources and infrastructure.

摘要

在公共卫生实验室中生成高质量序列数据的能力有助于识别致病菌株、确定暴发菌株之间的关联性,以及分析有关毒力和抗微生物耐药基因的遗传信息。然而,全基因组序列数据的分析依赖于生物信息学分析工具和流程。许多公共卫生实验室不具备分析测序产生的数据的生物信息学能力,因此无法充分利用全基因组测序的强大功能。本文观点的目标是为实验室提供一份指南,以帮助其理解解读全基因组序列数据所需的生物信息学分析,以及如何在公共卫生实验室环境中轻松、经济地实施这些计算机分析,在某些情况下甚至无需大量计算资源和基础设施。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/558c/5572866/08ffdb09f398/17-0416-F.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验