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

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.

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

Publication types

  • Review
  • Research Support, Non-U.S. Gov't

MeSH terms

  • COVID-19* / epidemiology
  • Genomics
  • Humans
  • Public Health
  • Research Personnel
  • SARS-CoV-2 / genetics

Grants and funding

A.W. was supported by the National Key Research and Development Program [grant number 2021YFC2301300], the CAMS Innovation Fund for Medical Sciences [grant number 2021-I2M-1-061], the National Natural Science Foundation of China [grant number 92169106], and Non-profit Central Research Institute Fund of Chinese Academy of Medical Sciences [grant number 2021-PT180-001]; H.-Y.Z. was supported by the Natural Science Foundation of Jiangsu Province [grant number BK20220278].