Your browser doesn't support javascript.
loading
Pdif-mediated antibiotic resistance genes transfer in bacteria identified by pdifFinder.
Shao, Mengjie; Ying, Nanjiao; Liang, Qian; Ma, Nan; Leptihn, Sebastian; Yu, Yunsong; Chen, Huan; Liu, Chengzhi; Hua, Xiaoting.
Afiliación
  • Shao M; School of Automation, Hangzhou Dianzi University, Hangzhou, Zhejiang, 310018, PR China.
  • Ying N; School of Automation, Hangzhou Dianzi University, Hangzhou, Zhejiang, 310018, PR China.
  • Liang Q; Hangzhou Digital Micro Biotech Co., Ltd., Hangzhou, 311215, China.
  • Ma N; School of Automation, Hangzhou Dianzi University, Hangzhou, Zhejiang, 310018, PR China.
  • Leptihn S; Department of Infectious Diseases, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, 310016, PR China.
  • Yu Y; Zhejiang University-University of Edinburgh Institute, School of Medicine, Zhejiang University, Hangzhou, China.
  • Chen H; University of Edinburgh Medical School, Biomedical Sciences, College of Medicine and Veterinary Medicine, The University of Edinburgh, Edinburgh, United Kingdom.
  • Liu C; Department of Infectious Diseases, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, 310016, PR China.
  • Hua X; Key Laboratory of Microbial Technology and Bioinformatics of Zhejiang Province, Hangzhou, Zhejiang, 310016, PR China.
Brief Bioinform ; 24(1)2023 01 19.
Article en En | MEDLINE | ID: mdl-36470841
Asunto(s)
Palabras clave
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Bacterias / Antibacterianos Tipo de estudio: Prognostic_studies Idioma: En Revista: Brief Bioinform Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2023 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Bacterias / Antibacterianos Tipo de estudio: Prognostic_studies Idioma: En Revista: Brief Bioinform Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2023 Tipo del documento: Article