环境和临床菌株的广泛基因组测序和基因型鉴定
Alfonso Esposito1, Silvano Piazza2
1Faculty of Medicine and Surgery, "Kore" University of Enna, Enna, Italy. alfonso.esposito@unikore.it.
Methods in molecular biology (Clifton, N.J.)
|October 11, 2023
概括
下一代测序 (NGS) 已经彻底改变了Pseudomonas aeruginosa基因组学,使广泛的数据分析成为可能. 这项工作详细介绍了NGS方法和生物信息学工具,用于基因型推断和可视化.
科学领域:
- 微生物学 微生物学
- 基因组学就是基因组学.
- 生物信息学是一种生物信息学.
背景情况:
- 下一代测序 (NGS) 的出现显著推进了对Pseudomonas aeruginosa基因组学的研究.
- 现在有超过5700个P. aeruginosa基因组公开提供,推动了复杂的生物信息学工具的开发.
- 生物信息学已经成为管理和解释大规模基因组和表型数据的关键.
研究的目的:
- 为提供P. aeruginosa基因组测序发现的历史概述.
- 描述DNA提取和NGS图书馆准备的实验室方法.
- 通过使用NGS数据,为基因型分析提供用户友好的生物信息管道.
主要方法:
- 用于Illumina MiSeq测序的DNA提取和图书馆准备.
- 生物信息学工具用于处理NGS数据的应用.
- 多部位序列类型 (MLST) 用于基因型确定.
主要成果:
- 对于P. aeruginosa基因组测序的NGS的成功应用.
- 开发和描述可访问的生物信息学工作流程.
- 使用MLST和最小跨度树的基因型推断和可视化.
结论:
- NGS技术和生物信息学方法为P. aeruginosa研究提供了强大的工具.
- 描述的方法有助于基因型分析和进化研究.
- 本章是研究人员进入P. aeruginosa基因组学的实用指南.
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