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SourceFinder: a Machine-Learning-Based Tool for Identification of Chromosomal, Plasmid, and Bacteriophage Sequences from Assemblies.
Aytan-Aktug, Derya; Grigorjev, Vladislav; Szarvas, Judit; Clausen, Philip T L C; Munk, Patrick; Nguyen, Marcus; Davis, James J; Aarestrup, Frank M; Lund, Ole.
Afiliación
  • Aytan-Aktug D; National Food Institute, Technical University of Denmarkgrid.5170.3, Kongens Lyngby, Denmark.
  • Grigorjev V; National Food Institute, Technical University of Denmarkgrid.5170.3, Kongens Lyngby, Denmark.
  • Szarvas J; National Food Institute, Technical University of Denmarkgrid.5170.3, Kongens Lyngby, Denmark.
  • Clausen PTLC; National Food Institute, Technical University of Denmarkgrid.5170.3, Kongens Lyngby, Denmark.
  • Munk P; National Food Institute, Technical University of Denmarkgrid.5170.3, Kongens Lyngby, Denmark.
  • Nguyen M; Consortium for Advanced Science and Engineering, University of Chicago, Chicago, Illinois, USA.
  • Davis JJ; Data Science and Learning Division, Argonne National Laboratorygrid.187073.a, Argonne, Illinois, USA.
  • Aarestrup FM; Northwestern Argonne Institute for Science and Engineering, Evanston, Illinois, USA.
  • Lund O; Consortium for Advanced Science and Engineering, University of Chicago, Chicago, Illinois, USA.
Microbiol Spectr ; 10(6): e0264122, 2022 12 21.
Article en En | MEDLINE | ID: mdl-36377945
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Bacteriófagos / Genoma Bacteriano Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Microbiol Spectr Año: 2022 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Bacteriófagos / Genoma Bacteriano Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Microbiol Spectr Año: 2022 Tipo del documento: Article