大数据时代的鼠疫耶尔森菌。

Yersinia pestis in the Age of Big Data.

作者信息

Yang Ruifu, Motin Vladimir L

机构信息

Beijing Institute of Microbiology and Epidemiology, No. Dongdajie, Fengtai, Beijing, 100071, China.

Departments of Pathology and Microbiology & Immunology, University of Texas Medical Branch, Galveston, TX, 77555, USA.

出版信息

Adv Exp Med Biol. 2016;918:257-272. doi: 10.1007/978-94-024-0890-4_9.

DOI:10.1007/978-94-024-0890-4_9

PMID:27722866

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.

摘要

随着组学驱动技术的迅速发展，基因组学、转录组学、蛋白质组学、代谢组学以及其他基于组学的数据以前所未有的速度积累。生物学中组学驱动的大数据改变了我们的研究方式。“大科学”以一种传统假设驱动研究无法实现的整体视角促进了我们对生物学的理解。在本章中，我们概述了基于组学对鼠疫耶尔森菌的研究，提供了大数据时代鼠疫耶尔森菌研究的一种思路，并对整合基于组学的数据以系统理解鼠疫耶尔森菌提出了一些建议。