A novel statistical method for quantitative comparison of multiple ChIP-seq datasets.

ABSTRACT:

Motivation

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.

Results

In this work, we develop a statistical method to perform quantitative comparison of multiple ChIP-seq datasets and detect genomic regions showing differential protein binding or histone modification. We first detect peaks from all datasets and then union them to form a single set of

SUBMITTER: Chen L 

PROVIDER: S-EPMC4542775 | biostudies-literature | 2015 Jun

REPOSITORIES: biostudies-literature