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生物数据标准化研究进展
引用本文:操利超,陈凤珍,严志祥.生物数据标准化研究进展[J].生物信息学,2015,13(1):31-34.
作者姓名:操利超  陈凤珍  严志祥
作者单位:深圳华大基因研究院,深圳 518083,深圳华大基因研究院,深圳 518083,深圳华大基因研究院,深圳 518083
摘    要:随着生物测序技术的快速发展,积累了海量的生物数据。生物数据资源作为生物分析研究及应用的核心和源头,为保证数据的正确性、可用性和安全性,对生物数据资源进行标准化的管理非常重要和迫切。本文综述了目前国内外生物数据标准化研制进展,目前国内外对生物数据缺少一个总体的规划,生物数据语义存在大量的不兼容性,数据格式多种多样,在生物数据收集、处理、存储和共享等方面缺乏统一的标准。国内外生物数据标准化处于起步阶段,但各国生物专家都在努力进行标准研制工作。文章最后从生物数据术语、生物数据资源收集、处理和交换、存储、生物数据库建设和生物数据伦理规范等方面出发,对标准研制工作进行一一探讨,期望能为生物数据标准制定提供一定的参考和依据。

关 键 词:生物数据  标准化  标准研制
收稿时间:2014/10/28 0:00:00
修稿时间:2014/11/17 0:00:00

Research development of biological data Standardization
CAO Lichao,CHEN Fengzhen and YAN Zhixiang.Research development of biological data Standardization[J].China Journal of Bioinformation,2015,13(1):31-34.
Authors:CAO Lichao  CHEN Fengzhen and YAN Zhixiang
Institution:BGI-Shenzhen, Shenzhen 518083, China,BGI-Shenzhen, Shenzhen 518083, China and BGI-Shenzhen, Shenzhen 518083, China
Abstract:Vast amounts of biological data have been accumulated with the rapid development of bio-sequencing technology. Meanwhile, biological data resources are essential for biological research and application, the standardization of biological is very important and urgent in terms of ensuring data accuracy, availability and security. This paper reviews the research progress of biological data standards. At present, there are still many unsolved problems , such as incompatibility of relevant biological data semantic, varied data formats and uniform standards in biological data collection, processing, storage and sharing and so on. Although the standardization of biological data is at the beginning stage, relevant experts are trying to draft the standardization sheme. Finally, this paper discusses some topics in the future such as the terms of biological data, the collection, processing, exchange and storage of biological data resources, the construction of biological databases, the ethics of biological data. We hope it will provide a guide for the research of biological data standardization.
Keywords:Biological data  Standardization  Standardization research
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