拟南芥基因转录调控关系识别研究进展  

Review on recognition of Arabidopsis gene transcriptional regulatory relationship

作　　者：秦玉芳[1] 郑小琪[2] 

机构地区：[1]上海海洋大学信息学院,上海201306 [2]上海师范大学数理学院,上海200234

出　　处：《广东农业科学》2013年第21期141-144,共4页Guangdong Agricultural Sciences

基　　金：国家自然科学基金(31100953);上海市教委创新项目(12YZ088)

摘　　要：系统研究基因组水平上的转录调控关系是功能基因组学研究中的一个重要方向,通过识别转录调控关系可以从分子水平认识细胞内的生理活动和功能,进而在系统尺度上理解其生物学进程。对拟南芥基因转录调控关系识别的生物信息学方法进行了综述,详细介绍了基于转录因子结合位点和基于机器学习的两类预测方法,指出了各自的优缺点,并探讨了可能的改进方向。Systemic studies on gene transcriptional Regulatory relationship on genome level is an important direction of functional genomics. Regulatory of transcriptional regulatory relationship can help us recognize intracellular physiological activities and functions at the molecular level, further understand the biological processes in the system scale. In this paper, the bioinformatics methods of recognition Arabidopsis gene transcriptional regulatory relationship were reviewed. Two kinds of bioinformatics methods were focused based on the transcription factor binding site and the machine learning. Moreover we pointed out the advantages and disadvantages of these methods and discussed the possible directions for improvement.

关 键 词：转录调控 转录因子结合位点 模式识别 机器学习 

分 类 号：S601[农业科学—园艺学] Q943.2[生物学—植物学]