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

10Citations
Citations of this article
16Readers
Mendeley users who have this article in their library.

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.

Cite

CITATION STYLE

APA

Cheng, Y., Ji, C., Zhou, H. Y., Zheng, H., & Wu, A. (2023, May 1). Web Resources for SARS-CoV-2 Genomic Database, Annotation, Analysis and Variant Tracking. Viruses. MDPI. https://doi.org/10.3390/v15051158

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free