计算生物学
转录因子
转录组
生物
基因表达
染色质
功能(生物学)
基因
基因表达调控
BETA(编程语言)
基因表达谱
染色质免疫沉淀
生物信息学
计算机科学
遗传学
发起人
程序设计语言
作者
Su Wang,Hanfei Sun,Jian Ma,Chongzhi Zang,Chenfei Wang,Juan Wang,Qianzi Tang,Clifford A. Meyer,Yong Zhang,X. Shirley Liu
出处
期刊:Nature Protocols
[Springer Nature]
日期:2013-11-21
卷期号:8 (12): 2502-2515
被引量:471
标识
DOI:10.1038/nprot.2013.150
摘要
The combination of ChIP-seq and transcriptome analysis is a compelling approach to unravel the regulation of gene expression. Several recently published methods combine transcription factor (TF) binding and gene expression for target prediction, but few of them provide an efficient software package for the community. Binding and expression target analysis (BETA) is a software package that integrates ChIP-seq of TFs or chromatin regulators with differential gene expression data to infer direct target genes. BETA has three functions: (i) to predict whether the factor has activating or repressive function; (ii) to infer the factor's target genes; and (iii) to identify the motif of the factor and its collaborators, which might modulate the factor's activating or repressive function. Here we describe the implementation and features of BETA to demonstrate its application to several data sets. BETA requires ∼1 GB of RAM, and the procedure takes 20 min to complete. BETA is available open source at http://cistrome.org/BETA/ .
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