4.6 Review

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

Journal

VIRUSES-BASEL
Volume 15, Issue 5, Pages -

Publisher

MDPI
DOI: 10.3390/v15051158

Keywords

SARS-CoV-2; web resource; database; annotation; genomic analysis; variant tracking

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The growing SARS-CoV-2 genomic data provide valuable information for researchers and public health officials concerning the transmission and evolution of the virus. Various web resources have been developed to aid in the analysis of these data, including storage, collation, analysis, and visualization. This review summarizes the web resources used for SARS-CoV-2 genomic epidemiology, covering data management, annotation, analysis, and variant tracking. Challenges and future expectations for these resources are discussed, emphasizing the importance of continued development and improvement for effectively tracking the spread and understanding the evolution of the virus.
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.

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