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Yersinia pestis in the Age of Big Data.
Yang, Ruifu; Motin, Vladimir L.
Afiliação
  • Yang R; Beijing Institute of Microbiology and Epidemiology, No. Dongdajie, Fengtai, Beijing, 100071, China. ruifuyang@gmail.com.
  • Motin VL; Departments of Pathology and Microbiology & Immunology, University of Texas Medical Branch, Galveston, TX, 77555, USA.
Adv Exp Med Biol ; 918: 257-272, 2016.
Article em En | MEDLINE | ID: mdl-27722866
As omics-driven technologies developed rapidly, genomics, transcriptomics, proteomics, metabolomics and other omics-based data have been accumulated in unprecedented speed. Omics-driven big data in biology have changed our way of research. "Big science" has promoted our understanding of biology in a holistic overview that is impossibly achieved by traditional hypothesis-driven research. In this chapter, we gave an overview of omics-driven research on Y. pestis, provided a way of thinking on Yersinia pestis research in the age of big data, and made some suggestions to integrate omics-based data for systems understanding of Y. pestis.
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Base de dados: MEDLINE Assunto principal: Yersinia pestis / Biologia Computacional Limite: Animals / Humans Idioma: En Ano de publicação: 2016 Tipo de documento: Article
Buscar no Google
Base de dados: MEDLINE Assunto principal: Yersinia pestis / Biologia Computacional Limite: Animals / Humans Idioma: En Ano de publicação: 2016 Tipo de documento: Article