Your browser doesn't support javascript.
Web Resources for SARS-CoV-2 Genomic Database, Annotation, Analysis and Variant Tracking.
Cheng, Yexiao; Ji, Chengyang; Zhou, Hang-Yu; Zheng, Heng; Wu, Aiping.
  • Cheng Y; School of Life Science and Technology, China Pharmaceutical University, Nanjing 211100, China.
  • Ji C; Institute of Systems Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100005, China.
  • Zhou HY; Suzhou Institute of Systems Medicine, Suzhou 215123, China.
  • Zheng H; Institute of Systems Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100005, China.
  • Wu A; Suzhou Institute of Systems Medicine, Suzhou 215123, China.
Viruses ; 15(5)2023 05 12.
Artículo en Inglés | MEDLINE | ID: covidwho-20234105
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.
Asunto(s)
Palabras clave

Texto completo: Disponible Colección: Bases de datos internacionales Base de datos: MEDLINE Asunto principal: COVID-19 Tipo de estudio: Estudio observacional / Estudio pronóstico Tópicos: Variantes Límite: Humanos Idioma: Inglés Año: 2023 Tipo del documento: Artículo País de afiliación: V15051158

Similares

MEDLINE

...
LILACS

LIS


Texto completo: Disponible Colección: Bases de datos internacionales Base de datos: MEDLINE Asunto principal: COVID-19 Tipo de estudio: Estudio observacional / Estudio pronóstico Tópicos: Variantes Límite: Humanos Idioma: Inglés Año: 2023 Tipo del documento: Artículo País de afiliación: V15051158