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Computational and Systems Immunology: A Student's Perspective.
Good, Zinaida; Glanville, Jacob; Gee, Marvin H; Davis, Mark M; Khatri, Purvesh.
Afiliação
  • Good Z; Computational and Systems Immunology track, PhD Program in Immunology, Stanford University, Stanford, CA, USA; Baxter Laboratory in Stem Cell Biology, Stanford University, Stanford, CA, USA; Department of Microbiology and Immunology, Stanford University, Stanford, CA, USA; Department of Pathology, S
  • Glanville J; Computational and Systems Immunology track, PhD Program in Immunology, Stanford University, Stanford, CA, USA; Department of Microbiology and Immunology, Stanford University, Stanford, CA, USA; Department of Pathology, Stanford University, Stanford, CA, USA.
  • Gee MH; Computational and Systems Immunology track, PhD Program in Immunology, Stanford University, Stanford, CA, USA; Department of Molecular and Cellular Physiology, Stanford University, Stanford, CA, USA.
  • Davis MM; Department of Microbiology and Immunology, Stanford University, Stanford, CA, USA.
  • Khatri P; Department of Medicine, Center for Biomedical Research, Stanford University, Stanford, CA, USA. Electronic address: pkhatri@stanford.edu.
Trends Immunol ; 40(8): 665-668, 2019 08.
Article em En | MEDLINE | ID: mdl-31288986
ABSTRACT
The big data revolution has transformed the landscape of immunology research. As inaugural students of Stanford's new Computational and Systems Immunology PhD track, we share our experiences and advice with other institutions considering a similar program.
Assuntos

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Biologia Computacional / Biologia de Sistemas / Alergia e Imunologia Limite: Humans Idioma: En Revista: Trends Immunol Assunto da revista: ALERGIA E IMUNOLOGIA Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Biologia Computacional / Biologia de Sistemas / Alergia e Imunologia Limite: Humans Idioma: En Revista: Trends Immunol Assunto da revista: ALERGIA E IMUNOLOGIA Ano de publicação: 2019 Tipo de documento: Article