ChIPseqR : analysis of ChIP-seq experiments

Peter Humburg, Chris A. Helliwell, David Bulger, Glenn Stone

    Research output: Contribution to journalArticlepeer-review

    14 Citations (Scopus)

    Abstract

    Background: The use of high-throughput sequencing in combination with chromatin immunoprecipitation (ChIP-seq) has enabled the study of genome-wide protein binding at high resolution. While the amount of data generated from such experiments is steadily increasing, the methods available for their analysis remain limited. Although several algorithms for the analysis of ChIP-seq data have been published they focus almost exclusively on transcription factor studies and are usually not well suited for the analysis of other types of experiments. Results: Here we present ChIPseqR, an algorithm for the analysis of nucleosome positioning and histone modification ChIP-seq experiments. The performance of this novel method is studied on short read sequencing data of Arabidopsis thaliana mononucleosomes as well as on simulated data. Conclusions: ChIPseqR is shown to improve sensitivity and spatial resolution over existing methods while maintaining high specificity. Further analysis of predicted nucleosomes reveals characteristic patterns in nucleosome sequences and placement.
    Original languageEnglish
    Number of pages17
    JournalBMC Bioinformatics
    Volume12
    DOIs
    Publication statusPublished - 2011

    Open Access - Access Right Statement

    © 2011 Humburg et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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