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Predictive regulatory and metabolic network models for systems analysis of Clostridioides difficile.
Arrieta-Ortiz, Mario L; Immanuel, Selva Rupa Christinal; Turkarslan, Serdar; Wu, Wei-Ju; Girinathan, Brintha P; Worley, Jay N; DiBenedetto, Nicholas; Soutourina, Olga; Peltier, Johann; Dupuy, Bruno; Bry, Lynn; Baliga, Nitin S.
Afiliação
  • Arrieta-Ortiz ML; Institute for Systems Biology, Seattle, WA 98109, USA.
  • Immanuel SRC; Institute for Systems Biology, Seattle, WA 98109, USA.
  • Turkarslan S; Institute for Systems Biology, Seattle, WA 98109, USA.
  • Wu WJ; Institute for Systems Biology, Seattle, WA 98109, USA.
  • Girinathan BP; Massachusetts Host-Microbiome Center, Brigham & Women's Hospital, Harvard Medical School, Boston, MA 02115, USA.
  • Worley JN; Massachusetts Host-Microbiome Center, Brigham & Women's Hospital, Harvard Medical School, Boston, MA 02115, USA.
  • DiBenedetto N; Massachusetts Host-Microbiome Center, Brigham & Women's Hospital, Harvard Medical School, Boston, MA 02115, USA.
  • Soutourina O; Université Paris-Saclay, CEA, CNRS, Institute for Integrative Biology of the Cell (I2BC), Gif-sur-yvette 91198, France.
  • Peltier J; Université Paris-Saclay, CEA, CNRS, Institute for Integrative Biology of the Cell (I2BC), Gif-sur-yvette 91198, France.
  • Dupuy B; Laboratoire Pathogenèse des Bactéries anaérobies, Institut Pasteur, Université de Paris, UMR CNRS 2001, Paris 75015, France.
  • Bry L; Massachusetts Host-Microbiome Center, Brigham & Women's Hospital, Harvard Medical School, Boston, MA 02115, USA.
  • Baliga NS; Institute for Systems Biology, Seattle, WA 98109, USA. Electronic address: nitin.baliga@isbscience.org.
Cell Host Microbe ; 29(11): 1709-1723.e5, 2021 11 10.
Article em En | MEDLINE | ID: mdl-34637780
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article