肿瘤生物信息学数据库

doi:10.13560/j.cnki.biotech.bull.1985.2015.11.010

摘要/Abstract

摘要： 恶性肿瘤已经成为严重危害人类健康的主要疾病之一。近年来，高通量检测技术迅速发展，成为肿瘤研究的重要手段之一，使得与肿瘤相关的组学数据迅速积累。这些数据对于研究肿瘤的发生发展机制具有重要意义。对海量生物学数据的管理和挖掘已经成为癌症研究的基础与重要方向。主要介绍人类肿瘤研究中经常用到的生物信息学数据库，包括综合性数据库、基因组、转录组、蛋白组、表观遗传组数据库等。在总结国内外肿瘤数据库发展现状的基础上，讨论了目前数据库开发存在的问题，旨为现有的研究提供帮助。

关键词: 生物信息学, 数据库, 生物学大数据, 肿瘤, 组学数据

Abstract: Malignant tumor has become one of the major diseases that takes seriously risks to human health. In recent years, the rapid development of high-throughput detection technology has become an important means in cancer research. In this way, the cancer genomics data accumulated rapidly. These data is important for the research of mechanisms of tumor initiation and development. Massive biological data management and mining have become the foundation and an important field in cancer research. This article describes the frequently used bioinformatics databases of human tumors, including comprehensive databases, databases of genomics, transcriptomics, proteomics, epigenetics, etc. Here we sum up the status quo of database development in China and abroad, and discuss the existing problems to assist current research.

Key words: bioinformatics, database, biological big data, tumor, OMICs data

杨健, 蔡浩洋. 肿瘤生物信息学数据库[J]. 生物技术通报, 2015, 31(11): 89-101.

Yang Jian, Cai Haoyang. The Cancer-related Bioinformatics Databases[J]. Biotechnology Bulletin, 2015, 31(11): 89-101.

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