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Mining, analyzing, and integrating viral signals from metagenomic data.
Zheng, Tingting; Li, Jun; Ni, Yueqiong; Kang, Kang; Misiakou, Maria-Anna; Imamovic, Lejla; Chow, Billy K C; Rode, Anne A; Bytzer, Peter; Sommer, Morten; Panagiotou, Gianni.
Afiliação
  • Zheng T; Systems Biology & Bioinformatics Group, School of Biological Sciences, Faculty of Sciences, The University of Hong Kong, Hong Kong, Hong Kong, Special Administrative Region of China.
  • Li J; Department of Infectious Diseases and Public Health, The Jockey Club College of Veterinary Medicine and Life Sciences, City University of Hong Kong, Hong Kong, Hong Kong, Special Administrative Region of China.
  • Ni Y; School of Data Science, City University of Hong Kong, Hong Kong, Hong Kong, Special Administrative Region of China.
  • Kang K; Department of Systems Biology and Bioinformatics, Leibniz Institute for Natural Product Research and Infection Biology, Hans Knöll Institute (HKI), Beutenbergstraße 11a, 07745, Jena, Germany.
  • Misiakou MA; Department of Systems Biology and Bioinformatics, Leibniz Institute for Natural Product Research and Infection Biology, Hans Knöll Institute (HKI), Beutenbergstraße 11a, 07745, Jena, Germany.
  • Imamovic L; Bacterial Synthetic Biology Section, Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kemitorvet, 2800, Kongens Lyngby, Denmark.
  • Chow BKC; Bacterial Synthetic Biology Section, Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kemitorvet, 2800, Kongens Lyngby, Denmark.
  • Rode AA; School of Biological Sciences, Faculty of Science, The University of Hong Kong, Hong Kong, Hong Kong, Special Administrative Region of China.
  • Bytzer P; Department of Medicine, Zealand University Hospital, Køge, Denmark.
  • Sommer M; Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark.
  • Panagiotou G; Department of Medicine, Zealand University Hospital, Køge, Denmark.
Microbiome ; 7(1): 42, 2019 03 19.
Article em En | MEDLINE | ID: mdl-30890181

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Bactérias / Bacteriófagos / Metagenômica / Mineração de Dados / Antibacterianos Tipo de estudo: Clinical_trials Limite: Humans Idioma: En Revista: Microbiome Ano de publicação: 2019 Tipo de documento: Article País de publicação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Bactérias / Bacteriófagos / Metagenômica / Mineração de Dados / Antibacterianos Tipo de estudo: Clinical_trials Limite: Humans Idioma: En Revista: Microbiome Ano de publicação: 2019 Tipo de documento: Article País de publicação: Reino Unido