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Machine Learning Predicts the Presence of 2,4,6-Trinitrotoluene in Sediments of a Baltic Sea Munitions Dumpsite Using Microbial Community Compositions.
Janßen, René; Beck, Aaron J; Werner, Johannes; Dellwig, Olaf; Alneberg, Johannes; Kreikemeyer, Bernd; Maser, Edmund; Böttcher, Claus; Achterberg, Eric P; Andersson, Anders F; Labrenz, Matthias.
Afiliação
  • Janßen R; Biological Oceanography, Leibniz Institute for Baltic Sea Research Warnemünde, Rostock, Germany.
  • Beck AJ; Marine Biogeochemistry, GEOMAR Helmholtz Centre for Ocean Research Kiel, Kiel, Germany.
  • Werner J; Biological Oceanography, Leibniz Institute for Baltic Sea Research Warnemünde, Rostock, Germany.
  • Dellwig O; Marine Geology, Leibniz Institute for Baltic Sea Research Warnemünde, Rostock, Germany.
  • Alneberg J; Science for Life Laboratory, Department of Gene Technology, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, Solna, Sweden.
  • Kreikemeyer B; Institute of Medical Microbiology, Virology and Hygiene, University of Rostock, Rostock, Germany.
  • Maser E; Institute of Toxicology and Pharmacology for Natural Scientists, University Medical School Schleswig-Holstein, Kiel, Germany.
  • Böttcher C; State Ministry of Energy, Agriculture, The Environment, Nature and Digitization, Kiel, Germany.
  • Achterberg EP; Marine Biogeochemistry, GEOMAR Helmholtz Centre for Ocean Research Kiel, Kiel, Germany.
  • Andersson AF; Science for Life Laboratory, Department of Gene Technology, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, Solna, Sweden.
  • Labrenz M; Biological Oceanography, Leibniz Institute for Baltic Sea Research Warnemünde, Rostock, Germany.
Front Microbiol ; 12: 626048, 2021.
Article em En | MEDLINE | ID: mdl-34659134
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article
Texto completo
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XML
PubMed Links
Buscar no Google

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