Target analysis by integration of transcriptome and ChIP-seq data with BETA

被引:373
作者
Wang, Su [1 ]
Sun, Hanfei [1 ]
Ma, Jian [1 ]
Zang, Chongzhi [2 ,3 ]
Wang, Chenfei [1 ]
Wang, Juan [1 ]
Tang, Qianzi [1 ]
Meyer, Clifford A. [2 ,3 ]
Zhang, Yong [1 ]
Liu, X. Shirley [2 ,3 ]
机构
[1] Tongji Univ, Sch Life Sci & Technol, Dept Bioinformat, Shanghai 200092, Peoples R China
[2] Dana Farber Canc Inst, Dept Biostat & Computat Biol, Boston, MA 02115 USA
[3] Harvard Univ, Sch Publ Hlth, Boston, MA 02115 USA
基金
中国国家自然科学基金; 美国国家卫生研究院;
关键词
GENE-EXPRESSION; GENOME BROWSER; IDENTIFICATION; PREDICTION; ELEMENT;
D O I
10.1038/nprot.2013.150
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
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 similar to 1 GB of RAM, and the procedure takes 20 min to complete. BETA is available open source at http://cistrome.org/BETA/.
引用
收藏
页码:2502 / 2515
页数:14
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