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A novel statistical method for quantitative comparison of multiple ChIP-seq datasets
Author(s) -
Li Chen,
Chi Wang,
Zhaohui Qin,
Hao Wu
Publication year - 2015
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btv094
Subject(s) - computer science , poisson distribution , software , data mining , measure (data warehouse) , noise (video) , pattern recognition (psychology) , artificial intelligence , mathematics , statistics , image (mathematics) , programming language
ChIP-seq is a powerful technology to measure the protein binding or histone modification strength in the whole genome scale. Although there are a number of methods available for single ChIP-seq data analysis (e.g. 'peak detection'), rigorous statistical method for quantitative comparison of multiple ChIP-seq datasets with the considerations of data from control experiment, signal to noise ratios, biological variations and multiple-factor experimental designs is under-developed.

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