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,...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
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MDPI AG
2023-05-01
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Series: | Viruses |
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Online Access: | https://www.mdpi.com/1999-4915/15/5/1158 |
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author | Yexiao Cheng Chengyang Ji Hang-Yu Zhou Heng Zheng Aiping Wu |
author_facet | Yexiao Cheng Chengyang Ji Hang-Yu Zhou Heng Zheng Aiping Wu |
author_sort | Yexiao Cheng |
collection | DOAJ |
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. |
first_indexed | 2024-03-11T03:14:58Z |
format | Article |
id | doaj.art-f4f646a060c549f5b87afb695e8e98c7 |
institution | Directory Open Access Journal |
issn | 1999-4915 |
language | English |
last_indexed | 2024-03-11T03:14:58Z |
publishDate | 2023-05-01 |
publisher | MDPI AG |
record_format | Article |
series | Viruses |
spelling | doaj.art-f4f646a060c549f5b87afb695e8e98c72023-11-18T03:39:50ZengMDPI AGViruses1999-49152023-05-01155115810.3390/v15051158Web Resources for SARS-CoV-2 Genomic Database, Annotation, Analysis and Variant TrackingYexiao Cheng0Chengyang Ji1Hang-Yu Zhou2Heng Zheng3Aiping Wu4School of Life Science and Technology, China Pharmaceutical University, Nanjing 211100, ChinaInstitute of Systems Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100005, ChinaInstitute of Systems Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100005, ChinaSchool of Life Science and Technology, China Pharmaceutical University, Nanjing 211100, ChinaInstitute of Systems Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100005, ChinaThe 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.https://www.mdpi.com/1999-4915/15/5/1158SARS-CoV-2web resourcedatabaseannotationgenomic analysisvariant tracking |
spellingShingle | Yexiao Cheng Chengyang Ji Hang-Yu Zhou Heng Zheng Aiping Wu Web Resources for SARS-CoV-2 Genomic Database, Annotation, Analysis and Variant Tracking Viruses SARS-CoV-2 web resource database annotation genomic analysis 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 | SARS-CoV-2 web resource database annotation genomic analysis variant tracking |
url | https://www.mdpi.com/1999-4915/15/5/1158 |
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