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ChIPseqR: analysis of ChIP-seq experiments

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 ana...

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Detalles Bibliográficos
Autores principales: Humburg, Peter, Helliwell, Chris A, Bulger, David, Stone, Glenn
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3045301/
https://www.ncbi.nlm.nih.gov/pubmed/21281468
http://dx.doi.org/10.1186/1471-2105-12-39
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author Humburg, Peter
Helliwell, Chris A
Bulger, David
Stone, Glenn
author_facet Humburg, Peter
Helliwell, Chris A
Bulger, David
Stone, Glenn
author_sort Humburg, Peter
collection PubMed
description 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.
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spelling pubmed-30453012011-03-01 ChIPseqR: analysis of ChIP-seq experiments Humburg, Peter Helliwell, Chris A Bulger, David Stone, Glenn BMC Bioinformatics Research Article 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. BioMed Central 2011-01-31 /pmc/articles/PMC3045301/ /pubmed/21281468 http://dx.doi.org/10.1186/1471-2105-12-39 Text en Copyright ©2011 Humburg et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 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.
spellingShingle Research Article
Humburg, Peter
Helliwell, Chris A
Bulger, David
Stone, Glenn
ChIPseqR: analysis of ChIP-seq experiments
title ChIPseqR: analysis of ChIP-seq experiments
title_full ChIPseqR: analysis of ChIP-seq experiments
title_fullStr ChIPseqR: analysis of ChIP-seq experiments
title_full_unstemmed ChIPseqR: analysis of ChIP-seq experiments
title_short ChIPseqR: analysis of ChIP-seq experiments
title_sort chipseqr: analysis of chip-seq experiments
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3045301/
https://www.ncbi.nlm.nih.gov/pubmed/21281468
http://dx.doi.org/10.1186/1471-2105-12-39
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