Your browser doesn't support javascript.
loading
Metagenomic and Machine Learning Meta-Analyses Characterize Airborne Resistome Features and Their Hosts in China Megacities.
Wu, Dong; Xie, Jiawen; Liu, Yangying; Jin, Ling; Li, Guiying; An, Taicheng.
Afiliação
  • Wu D; Shanghai Engineering Research Center of Biotransformation of Organic Solid Waste, School of Ecological and Environmental Sciences, Chongqing Institute of East China Normal University, East China Normal University, Shanghai 200241, P. R. China.
  • Xie J; Guangdong-Hong Kong-Macao Joint Laboratory for Contaminants Exposure and Health, Guangdong Key Laboratory of Environmental Catalysis and Health Risk Control, School of Environmental Science and Engineering, Institute of Environmental Health and Pollution Control, Guangdong University of Technology,
  • Liu Y; Department of Civil and Environmental Engineering and Research Institute for Sustainable Urban Development, The Hong Kong Polytechnic University, Kowloon, Hong Kong.
  • Jin L; Department of Computer Science and Engineering, Lehigh University, Bethlehem, Pennsylvania 18015, United States.
  • Li G; Department of Civil and Environmental Engineering and Research Institute for Sustainable Urban Development, The Hong Kong Polytechnic University, Kowloon, Hong Kong.
  • An T; Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Kowloon, Hong Kong.
Environ Sci Technol ; 57(43): 16414-16423, 2023 10 31.
Article em En | MEDLINE | ID: mdl-37844141
Assuntos
Palavras-chave
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Metagenoma / Genes Bacterianos País/Região como assunto: Asia Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Metagenoma / Genes Bacterianos País/Região como assunto: Asia Idioma: En Ano de publicação: 2023 Tipo de documento: Article