Your browser doesn't support javascript.
loading
AutoVEM: An automated tool to real-time monitor epidemic trends and key mutations in SARS-CoV-2 evolution.
Xi, Binbin; Jiang, Dawei; Li, Shuhua; Lon, Jerome R; Bai, Yunmeng; Lin, Shudai; Hu, Meiling; Meng, Yuhuan; Qu, Yimo; Huang, Yuting; Liu, Wei; Huang, Lizhen; Du, Hongli.
Afiliação
  • Xi B; School of Biology and Biological Engineering, South China University of Technology, Guangzhou 510006, China.
  • Jiang D; School of Biology and Biological Engineering, South China University of Technology, Guangzhou 510006, China.
  • Li S; School of Biology and Biological Engineering, South China University of Technology, Guangzhou 510006, China.
  • Lon JR; School of Biology and Biological Engineering, South China University of Technology, Guangzhou 510006, China.
  • Bai Y; School of Biology and Biological Engineering, South China University of Technology, Guangzhou 510006, China.
  • Lin S; School of Biology and Biological Engineering, South China University of Technology, Guangzhou 510006, China.
  • Hu M; School of Biology and Biological Engineering, South China University of Technology, Guangzhou 510006, China.
  • Meng Y; School of Biology and Biological Engineering, South China University of Technology, Guangzhou 510006, China.
  • Qu Y; School of Biology and Biological Engineering, South China University of Technology, Guangzhou 510006, China.
  • Huang Y; School of Biology and Biological Engineering, South China University of Technology, Guangzhou 510006, China.
  • Liu W; School of Biology and Biological Engineering, South China University of Technology, Guangzhou 510006, China.
  • Huang L; School of Biology and Biological Engineering, South China University of Technology, Guangzhou 510006, China.
  • Du H; School of Biology and Biological Engineering, South China University of Technology, Guangzhou 510006, China.
Comput Struct Biotechnol J ; 19: 1976-1985, 2021.
Article em En | MEDLINE | ID: mdl-33841748
Palavras-chave
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Risk_factors_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Risk_factors_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article