Cargando…
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...
Autores principales: | , , , |
---|---|
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 |
_version_ | 1782198806191800320 |
---|---|
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. |
format | Text |
id | pubmed-3045301 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT humburgpeter chipseqranalysisofchipseqexperiments AT helliwellchrisa chipseqranalysisofchipseqexperiments AT bulgerdavid chipseqranalysisofchipseqexperiments AT stoneglenn chipseqranalysisofchipseqexperiments |