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xenoGI 3: using the DTLOR model to reconstruct the evolution of gene families in clades of microbes.
Liu, Nuo; Gonzalez, Tonatiuh A; Fischer, Jacob; Hong, Chan; Johnson, Michelle; Mawhorter, Ross; Mugnatto, Fabrizia; Soh, Rachael; Somji, Shifa; Wirth, Joseph S; Libeskind-Hadas, Ran; Bush, Eliot C.
Afiliación
  • Liu N; Department of Biology, Harvey Mudd College, Claremont, CA, USA.
  • Gonzalez TA; Department of Biology, Harvey Mudd College, Claremont, CA, USA.
  • Fischer J; Department of Computer Science, Harvey Mudd College, Claremont, CA, USA.
  • Hong C; Department of Biology, Harvey Mudd College, Claremont, CA, USA.
  • Johnson M; Department of Biology, Harvey Mudd College, Claremont, CA, USA.
  • Mawhorter R; Department of Computer Science and Engineering, University of California Santa Cruz, Santa Cruz, CA, USA.
  • Mugnatto F; Department of Biology, Harvey Mudd College, Claremont, CA, USA.
  • Soh R; Department of Biology, Harvey Mudd College, Claremont, CA, USA.
  • Somji S; Department of Computer Science, Harvey Mudd College, Claremont, CA, USA.
  • Wirth JS; Department of Biology, Harvey Mudd College, Claremont, CA, USA.
  • Libeskind-Hadas R; Division of Foodborne, Waterborne, and Environmental Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA.
  • Bush EC; Department of Integrated Sciences, Claremont McKenna College, Claremont, CA, USA.
BMC Bioinformatics ; 24(1): 295, 2023 Jul 21.
Article en En | MEDLINE | ID: mdl-37480009
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Bacterias / Programas Informáticos / Genoma Bacteriano Idioma: En Revista: BMC Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2023 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 Asunto principal: Bacterias / Programas Informáticos / Genoma Bacteriano Idioma: En Revista: BMC Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos