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SARS-CoV-2 基因组数据库、注释、分析和变异跟踪的网络资源。

Web Resources for SARS-CoV-2 Genomic Database, Annotation, Analysis and Variant Tracking.

机构信息

School of Life Science and Technology, China Pharmaceutical University, Nanjing 211100, China.

Institute of Systems Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100005, China.

出版信息

Viruses. 2023 May 12;15(5):1158. doi: 10.3390/v15051158.

Abstract

The SARS-CoV-2 genomic data continue to grow, providing valuable information for researchers and public health officials. Genomic analysis of these data sheds light on the transmission and evolution of the virus. To aid in SARS-CoV-2 genomic analysis, many web resources have been developed to store, collate, analyze, and visualize the genomic data. This review summarizes web resources used for the SARS-CoV-2 genomic epidemiology, covering data management and sharing, genomic annotation, analysis, and variant tracking. The challenges and further expectations for these web resources are also discussed. Finally, we highlight the importance and need for continued development and improvement of related web resources to effectively track the spread and understand the evolution of the virus.

摘要

SARS-CoV-2 基因组数据不断增长,为研究人员和公共卫生官员提供了有价值的信息。对这些数据的基因组分析揭示了病毒的传播和进化。为了帮助进行 SARS-CoV-2 基因组分析,已经开发了许多网络资源来存储、整理、分析和可视化基因组数据。本文综述了用于 SARS-CoV-2 基因组流行病学的网络资源,涵盖了数据管理和共享、基因组注释、分析和变异跟踪。还讨论了这些网络资源面临的挑战和进一步的期望。最后,我们强调了继续开发和改进相关网络资源以有效跟踪病毒传播和了解其进化的重要性和必要性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/88f3/10222785/d3de1f8f3fb6/viruses-15-01158-g001.jpg

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