Tao Ziqi, Shi Aimin, Li Rui, Wang Yiqiu, Wang Xin, Zhao Jing
Department of Science and Education, Xuzhou Central Hospital, Xuzhou 221009, China.
J BUON. 2017 Jul-Aug;22(4):838-843.
Bioinformatics is one of the newest fields of biological research, and should be viewed broadly as the use of mathematical, statistical, and computational methods for the processing and analysis of biological data. Over the last decade, the rapid growth of information and technology in both "genomics" and "omics" eras has been overwhelming for the laboratory scientists to process experimental results. Traditional gene-by-gene approaches in research are insufficient to meet the growth and demand of biological research in understanding the true biology. The massive amounts of data generated by new technologies as genomic sequencing and microarray chips make the management of data and the integration of multiple platforms of high importance; this is then followed by data analysis and interpretation to achieve biological understanding and therapeutic progress. Global views of analyzing the magnitude of information are necessary and traditional approaches to lab work have steadily been changing towards a bioinformatics era. Research is moving from being restricted to a laboratory environment to working with computers in a "virtual lab" environment. The present review article shall put light on this emerging field and its applicability towards cancer research.
生物信息学是生物研究领域中最新的学科之一，广义上应被视为运用数学、统计学和计算方法来处理和分析生物数据。在过去十年中，“基因组学”和“组学”时代信息技术的快速发展让实验室科学家处理实验结果时应接不暇。研究中传统的逐个基因研究方法不足以满足生物研究在理解真实生物学方面的发展和需求。新技术如基因组测序和微阵列芯片产生的海量数据使得数据管理以及多个平台的整合变得至关重要；随后是数据分析和解读，以实现生物学理解和治疗进展。分析信息规模的全局观是必要的，传统的实验室工作方法正稳步迈向生物信息学时代。研究正从局限于实验室环境转向在“虚拟实验室”环境中与计算机协作。本综述文章将阐述这一新兴领域及其在癌症研究中的适用性。
