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BMC Bioinformatics

, 9:523

First Online: 05 December 2008Received: 30 July 2008Accepted: 05 December 2008

Abstract

BackgroundHigh throughput signature sequencing holds many promises, one of which is the ready identification of in vivo transcription factor binding sites, histone modifications, changes in chromatin structure and patterns of DNA methylation across entire genomes. In these experiments, chromatin immunoprecipitation is used to enrich for particular DNA sequences of interest and signature sequencing is used to map the regions to the genome ChIP-Seq. Elucidation of these sites of DNA-protein binding-modification are proving instrumental in reconstructing networks of gene regulation and chromatin remodelling that direct development, response to cellular perturbation, and neoplastic transformation.

ResultsHere we present a package of algorithms and software that makes use of control input data to reduce false positives and estimate confidence in ChIP-Seq peaks. Several different methods were compared using two simulated spike-in datasets. Use of control input data and a normalized difference score were found to more than double the recovery of ChIP-Seq peaks at a 5% false discovery rate FDR. Moreover, both a binomial p-value-q-value and an empirical FDR were found to predict the true FDR within 2–3 fold and are more reliable estimators of confidence than a global Poisson p-value. These methods were then used to reanalyze Johnson et al.-s neuron-restrictive silencer factor NRSF ChIP-Seq data without relying on extensive qPCR validated NRSF sites and the presence of NRSF binding motifs for setting thresholds.

ConclusionThe methods developed and tested here show considerable promise for reducing false positives and estimating confidence in ChIP-Seq data without any prior knowledge of the chIP target. They are part of a larger open source package freely available from http:-useq.sourceforge.net-.

Electronic supplementary materialThe online version of this article doi:10.1186-1471-2105-9-523 contains supplementary material, which is available to authorized users.

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Autor: David A Nix - Samir J Courdy - Kenneth M Boucher

Fuente: https://link.springer.com/



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