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数字化表达谱差异分析方法-DGE-P
引用本文:孟凡超,夏志强,曾长英,王文泉.数字化表达谱差异分析方法-DGE-P[J].现代生物医学进展,2013(2):340-343,359.
作者姓名:孟凡超  夏志强  曾长英  王文泉
作者单位:[1]海南大学,海南海口571101 [2]中国热带农业科学院热带生物技术研究所,海南海口571101
基金项目:国家重点基础研究发展计划(973)计划项目)“重要热带作物木薯品种改良的基础研究”(2010cb126602)
摘    要:目的:目前,关于数字化表达谱差异分析的方法及软件极少,且需懂得R语言等,操作繁琐,这给数字表达谱分析带来了不少困难,DGE-P软件针对数字化表达谱开发的差异分析软件。方法:DGE-P软件,利用倍数分析及数字化基因表达谱差异基因检测方法,对通过本软件标准化后的数据进行差异显著性分析。结果:DGE-P软件包含了丰度统计、数据标准化、求倍数分析和p-value值三个模块。可得出倍数分析与数字化基因表达谱差异基因检测方法(p-value)两个值。结论:DGE-P较以前的差异分析软件相比是一款针对数字化表达谱分析的软件,克服了其他软件在无重复实验数据时无法避免误差的缺陷。并且DGE-P较其他的软件相比使用方便,可在windows系统下运行,操作简单。

关 键 词:tag-seq  数字化基因表达谱  差异显著性  标准化  软件

On Digital Gene Expression Profiles-DGE-P
MENG Fan-chao,XIA Zhi-qiang,ZENG Chang-ying,WANG Wen-quan.On Digital Gene Expression Profiles-DGE-P[J].Progress in Modern Biomedicine,2013(2):340-343,359.
Authors:MENG Fan-chao  XIA Zhi-qiang  ZENG Chang-ying  WANG Wen-quan
Institution:1.. Hainan University, HaiKou ,Hainan 571101, China; 2. Institute of Tropical Bioscience and Biotechnology, Chinese Academy of Tropical Agricultural Sciences, HaiKou Hainan, 5 71101 China)
Abstract:Objective: At present, the methods and software for digital expression analysis are lacked. Because R language is difficult to understand and complicated to operate, which has made the digital expression profile analysis too difficult. DGE-P software need to be developed for digital expression analysis. Methods: The principle of DGE-P was using fold change rule and digital gene expression profiles method to analyse the data which were standardized through the software. Results: The DGE-P software includes the abundance of statistics, data standardization, ratio and the p-value of three modules. Multiples analysis and digital gene expression profile gene detection method (p-value) of two values could be drawn from the software. Conclusions: Compared with the previous analysis software, DGE-P so,ware focuses on digitized expression profiling analysis software, which has overcomed the defects of other software that could not be avoided in the absence of repeated experimental data, and is easy to use and can run in the windows system.
Keywords:tag-seq  Digital gene expression profiles  Significance of difference  Standardization  Software
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