title: Yersinia pestis in the Age of Big Data.
abstract: 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.
authors.affiliation: Beijing Institute of Microbiology and Epidemiology, No. Dongdajie, Fengtai, Beijing, 100071, China. ruifuyang@gmail.com.
authors.forename: Ruifu
authors.initials: R
authors.lastname: Yang
authors.affiliation: Departments of Pathology and Microbiology & Immunology, University of Texas Medical Branch, Galveston, TX, 77555, USA.
authors.forename: Vladimir L
authors.initials: VL
authors.lastname: Motin
mesh_terms: D000818:Animals; D019295:Computational Biology; D023281:Genomics; D006801:Humans; D055432:Metabolomics; D040901:Proteomics; D012106:Research; D015010:Yersinia pestis / Q000235:genetics / Q000502:physiology*; D015047:Zoonoses
keywords: Big data; Omics-driven research; Yersinia pestis