Your browser doesn't support javascript.
loading
Deep distributed computing to reconstruct extremely large lineage trees.
Konno, Naoki; Kijima, Yusuke; Watano, Keito; Ishiguro, Soh; Ono, Keiichiro; Tanaka, Mamoru; Mori, Hideto; Masuyama, Nanami; Pratt, Dexter; Ideker, Trey; Iwasaki, Wataru; Yachie, Nozomu.
Afiliación
  • Konno N; Synthetic Biology Division, Research Center for Advanced Science and Technology, The University of Tokyo, Tokyo, Japan.
  • Kijima Y; Department of Biological Sciences, Graduate School of Science, The University of Tokyo, Tokyo, Japan.
  • Watano K; Department of Integrated Biosciences, Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa, Japan.
  • Ishiguro S; Synthetic Biology Division, Research Center for Advanced Science and Technology, The University of Tokyo, Tokyo, Japan.
  • Ono K; Department of Aquatic Bioscience, Graduate School of Agricultural and Life Sciences, The University of Tokyo, Tokyo, Japan.
  • Tanaka M; School of Biomedical Engineering, Faculty of Applied Science and Faculty of Medicine, The University of British Columbia, Vancouver, British Columbia, Canada.
  • Mori H; Synthetic Biology Division, Research Center for Advanced Science and Technology, The University of Tokyo, Tokyo, Japan.
  • Masuyama N; Department of Biological Sciences, Graduate School of Science, The University of Tokyo, Tokyo, Japan.
  • Pratt D; Department of Integrated Biosciences, Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa, Japan.
  • Ideker T; Synthetic Biology Division, Research Center for Advanced Science and Technology, The University of Tokyo, Tokyo, Japan.
  • Iwasaki W; School of Biomedical Engineering, Faculty of Applied Science and Faculty of Medicine, The University of British Columbia, Vancouver, British Columbia, Canada.
  • Yachie N; Department of Medicine, University of California, San Diego, La Jolla, CA, USA.
Nat Biotechnol ; 40(4): 566-575, 2022 04.
Article en En | MEDLINE | ID: mdl-34992246
Asunto(s)
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Algoritmos / Programas Informáticos Idioma: En Revista: Nat Biotechnol Asunto de la revista: BIOTECNOLOGIA Año: 2022 Tipo del documento: Article País de afiliación: Japón
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Algoritmos / Programas Informáticos Idioma: En Revista: Nat Biotechnol Asunto de la revista: BIOTECNOLOGIA Año: 2022 Tipo del documento: Article País de afiliación: Japón