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Ecosystem-wide metagenomic binning enables prediction of ecological niches from genomes.
Alneberg, Johannes; Bennke, Christin; Beier, Sara; Bunse, Carina; Quince, Christopher; Ininbergs, Karolina; Riemann, Lasse; Ekman, Martin; Jürgens, Klaus; Labrenz, Matthias; Pinhassi, Jarone; Andersson, Anders F.
Afiliação
  • Alneberg J; Department of Gene Technology, Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, Stockholm, Sweden.
  • Bennke C; Leibniz Institute for Baltic Sea Research, Warnemünde, Germany.
  • Beier S; Leibniz Institute for Baltic Sea Research, Warnemünde, Germany.
  • Bunse C; CNRS, Laboratoire d'Océanographie Microbienne, LOMIC, Sorbonne Université, Banyuls/mer, France.
  • Quince C; Centre for Ecology and Evolution in Microbial Model Systems, Linnaeus, University, Kalmar, Sweden.
  • Ininbergs K; Helmholtz Institute for Functional Marine Biodiversity at the University of Oldenburg (HIFMB), Oldenburg, Germany.
  • Riemann L; Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung, Bremerhaven, Germany.
  • Ekman M; Warwick Medical School, University of Warwick, Coventry, UK.
  • Jürgens K; Department of Ecology, Environment and Plant Sciences, Stockholm University, Stockholm, Sweden.
  • Labrenz M; Department of Laboratory Medicine, Karolinska Institute, Stockholm, Sweden.
  • Pinhassi J; Department of Biology, Marine Biological Section, University of Copenhagen, Helsingør, Denmark.
  • Andersson AF; Department of Ecology, Environment and Plant Sciences, Stockholm University, Stockholm, Sweden.
Commun Biol ; 3(1): 119, 2020 03 13.
Article em En | MEDLINE | ID: mdl-32170201
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Genoma Bacteriano / Ecossistema / Genoma Arqueal / Metagenoma / Metagenômica / Organismos Aquáticos Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article
Texto completo
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Genoma Bacteriano / Ecossistema / Genoma Arqueal / Metagenoma / Metagenômica / Organismos Aquáticos Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article