A statistical framework for power calculations in ChIP-seq experiments.

ABSTRACT:

Motivation

ChIP-seq technology enables investigators to study genome-wide binding of transcription factors and mapping of epigenomic marks. Although the availability of basic analysis tools for ChIP-seq data is rapidly increasing, there has not been much progress on the related design issues. A challenging question for designing a ChIP-seq experiment is how deeply should the ChIP and the control samples be sequenced? The answer depends on multiple factors some of which can be set by the experimenter based on pilot/preliminary data. The sequencing depth of a ChIP-seq experiment is one of the key factors that determine whether all the underlying targets (e.g. binding locations or epigenomic profiles) can be identified with a targeted power.

Results

We developed a statistical f

SUBMITTER: Zuo C 

PROVIDER: S-EPMC3957067 | biostudies-literature | 2014 Mar

REPOSITORIES: biostudies-literature