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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
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.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Biologia Computacional / Biologia de Sistemas / Alergia e Imunologia Limite: Humans Idioma: En Ano de publicação: 2019 Tipo de documento: Article
Texto completo
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Biologia Computacional / Biologia de Sistemas / Alergia e Imunologia Limite: Humans Idioma: En Ano de publicação: 2019 Tipo de documento: Article