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

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,...

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Autores principales: Cheng, Yexiao, Ji, Chengyang, Zhou, Hang-Yu, Zheng, Heng, Wu, Aiping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10222785/
https://www.ncbi.nlm.nih.gov/pubmed/37243244
http://dx.doi.org/10.3390/v15051158
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author Cheng, Yexiao
Ji, Chengyang
Zhou, Hang-Yu
Zheng, Heng
Wu, Aiping
author_facet Cheng, Yexiao
Ji, Chengyang
Zhou, Hang-Yu
Zheng, Heng
Wu, Aiping
author_sort Cheng, Yexiao
collection PubMed
description 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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spelling pubmed-102227852023-05-28 Web Resources for SARS-CoV-2 Genomic Database, Annotation, Analysis and Variant Tracking Cheng, Yexiao Ji, Chengyang Zhou, Hang-Yu Zheng, Heng Wu, Aiping Viruses Review 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. MDPI 2023-05-12 /pmc/articles/PMC10222785/ /pubmed/37243244 http://dx.doi.org/10.3390/v15051158 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Cheng, Yexiao
Ji, Chengyang
Zhou, Hang-Yu
Zheng, Heng
Wu, Aiping
Web Resources for SARS-CoV-2 Genomic Database, Annotation, Analysis and Variant Tracking
title Web Resources for SARS-CoV-2 Genomic Database, Annotation, Analysis and Variant Tracking
title_full Web Resources for SARS-CoV-2 Genomic Database, Annotation, Analysis and Variant Tracking
title_fullStr Web Resources for SARS-CoV-2 Genomic Database, Annotation, Analysis and Variant Tracking
title_full_unstemmed Web Resources for SARS-CoV-2 Genomic Database, Annotation, Analysis and Variant Tracking
title_short Web Resources for SARS-CoV-2 Genomic Database, Annotation, Analysis and Variant Tracking
title_sort web resources for sars-cov-2 genomic database, annotation, analysis and variant tracking
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10222785/
https://www.ncbi.nlm.nih.gov/pubmed/37243244
http://dx.doi.org/10.3390/v15051158
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