Department of Chemistry & Chemical Biology, University of New Mexico, Albuquerque, NM 87131, USA.
Centrillion Technologies, Palo Alto, CA 94303, USA.
Per Med. 2023 Jan;20(1):13-25. doi: 10.2217/pme-2022-0013. Epub 2023 Mar 28.
With over 5.5 million deaths worldwide attributed to the respiratory disease COVID-19 caused by the novel coronavirus SARS-CoV-2, it is essential that continued efforts be made to track the evolution and spread of the virus globally. The authors previously presented a rapid and cost-effective method to sequence the entire SARS-CoV-2 genome with 95% coverage and 99.9% accuracy. This method is advantageous for identifying and tracking variants in the SARS-CoV-2 genome compared with traditional short-read sequencing methods which can be time-consuming and costly. Herein, the addition of genotyping probes to a DNA chip that targets known SARS-CoV-2 variants is presented. The incorporation of genotyping probe sets along with the advent of a moving average filter improved the sequencing coverage and accuracy of the SARS-CoV-2 genome.
据报道,新型冠状病毒 SARS-CoV-2 引起的呼吸道疾病 COVID-19 在全球范围内导致超过 550 万人死亡,因此必须继续努力在全球范围内追踪该病毒的演变和传播。作者先前提出了一种快速且具有成本效益的方法,可对整个 SARS-CoV-2 基因组进行测序,覆盖率达 95%,准确率达 99.9%。与传统的短读测序方法相比,这种方法有利于识别和跟踪 SARS-CoV-2 基因组中的变异,因为传统的短读测序方法耗时且昂贵。在此,提出了在针对已知 SARS-CoV-2 变体的 DNA 芯片上添加基因分型探针的方法。基因分型探针集的加入以及移动平均滤波器的出现提高了 SARS-CoV-2 基因组的测序覆盖率和准确性。