Suppr超能文献

一种经过优化的基于扩增子的方法,用于在Illumina MiSeq测序平台上使用COVIDSeq检测法对患者样本中的SARS-CoV-2进行测序。

An optimized, amplicon-based approach for sequencing of SARS-CoV-2 from patient samples using COVIDSeq assay on Illumina MiSeq sequencing platforms.

作者信息

Bhoyar Rahul C, Senthivel Vigneshwar, Jolly Bani, Imran Mohamed, Jain Abhinav, Divakar Mohit Kumar, Scaria Vinod, Sivasubbu Sridhar

机构信息

CSIR- Institute of Genomics and Integrative Biology (CSIR-IGIB), Mathura Road, Delhi, 110025, India.

Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, Uttar Pradesh, 201002, India.

出版信息

STAR Protoc. 2021 Sep 17;2(3):100755. doi: 10.1016/j.xpro.2021.100755. Epub 2021 Aug 2.

Abstract

Sequencing of SARS-CoV-2 genomes is crucial for understanding the genetic epidemiology of the COVID-19 pandemic. It is also critical for understanding the evolution of the virus and also for the rapid development of diagnostic tools. The present protocol is a modification of the Illumina COVIDSeq test. We describe an amplicon-based next-generation sequencing approach with short turnaround time, adapted for bench-top sequencers like MiSeq, iSeq, and MiniSeq. For complete details on the use and execution of this protocol, please refer to Bhoyar et al. (2021).

摘要

对严重急性呼吸综合征冠状病毒2(SARS-CoV-2)基因组进行测序对于了解新冠疫情的遗传流行病学至关重要。对于理解病毒的进化以及诊断工具的快速开发也至关重要。本方案是对Illumina COVIDSeq检测的一种改进。我们描述了一种基于扩增子的下一代测序方法,周转时间短,适用于MiSeq、iSeq和MiniSeq等台式测序仪。有关本方案使用和执行的完整详细信息,请参考Bhoyar等人(2021年)的文献。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/21cc/8369068/0d08625e97d7/fx1.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