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Online Phylogenetics using Parsimony Produces Slightly Better Trees and is Dramatically More Efficient for Large SARS-CoV-2 Phylogenies than de novo and Maximum-Likelihood Approaches.
Thornlow, Bryan; Kramer, Alexander; Ye, Cheng; De Maio, Nicola; McBroome, Jakob; Hinrichs, Angie S; Lanfear, Robert; Turakhia, Yatish; Corbett-Detig, Russell.
Afiliación
  • Thornlow B; Department of Biomolecular Engineering, University of California, Santa Cruz; Santa Cruz, CA 95064, USA.
  • Kramer A; Genomics Institute, University of California, Santa Cruz; Santa Cruz, CA 95064, USA.
  • Ye C; Department of Biomolecular Engineering, University of California, Santa Cruz; Santa Cruz, CA 95064, USA.
  • De Maio N; Genomics Institute, University of California, Santa Cruz; Santa Cruz, CA 95064, USA.
  • McBroome J; Department of Electrical and Computer Engineering, University of California, San Diego; San Diego, CA 92093, USA.
  • Hinrichs AS; European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus; Cambridge CB10 1SD, UK.
  • Lanfear R; Department of Biomolecular Engineering, University of California, Santa Cruz; Santa Cruz, CA 95064, USA.
  • Turakhia Y; Genomics Institute, University of California, Santa Cruz; Santa Cruz, CA 95064, USA.
  • Corbett-Detig R; Genomics Institute, University of California, Santa Cruz; Santa Cruz, CA 95064, USA.
bioRxiv ; 2022 May 18.
Article en En | MEDLINE | ID: mdl-35611334
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: BioRxiv Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: BioRxiv Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos