Q-nexus: a comprehensive and efficient analysis pipeline designed for ChIP-nexus
Background: ChIP-nexus, an extension of the ChIP-exo protocol, can be used to map the borders of protein-bound DNA sequences at nucleotide resolution, requires less input DNA and enables selective PCR duplicate removal using random barcodes. However, the use of random barcodes requires additional pr...
| Autores: | , , , , , , |
|---|---|
| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2016 |
| País: | España |
| Institución: | Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya) |
| Repositorio: | Recercat. Dipósit de la Recerca de Catalunya |
| OAI Identifier: | oai:recercat.cat:10230/27873 |
| Acceso en línea: | http://hdl.handle.net/10230/27873 http://dx.doi.org/10.1186/s12864-016-3164-6 |
| Access Level: | acceso abierto |
| Palabra clave: | Chromatin immunoprecipitation ChIP-nexus ChIP-exo Duplication rates Library complexity Algorithm Bioinformatics |
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Q-nexus: a comprehensive and efficient analysis pipeline designed for ChIP-nexusHansen, PeterHecht, JochenIbn-Salem, JonasMenkuec, Benjamin S.Roskosch, SebastianTruss, MatthiasRobinson, Peter N.Chromatin immunoprecipitationChIP-nexusChIP-exoDuplication ratesLibrary complexityAlgorithmBioinformaticsBackground: ChIP-nexus, an extension of the ChIP-exo protocol, can be used to map the borders of protein-bound DNA sequences at nucleotide resolution, requires less input DNA and enables selective PCR duplicate removal using random barcodes. However, the use of random barcodes requires additional preprocessing of the mapping data, which complicates the computational analysis. To date, only a very limited number of software packages are available for the analysis of ChIP-exo data, which have not yet been systematically tested and compared on ChIP-nexus data. Results: Here, we present a comprehensive software package for ChIP-nexus data that exploits the random barcodes for selective removal of PCR duplicates and for quality control. Furthermore, we developed bespoke methods to estimate the width of the protected region resulting from protein-DNA binding and to infer binding positions from ChIP-nexus data. Finally, we applied our peak calling method as well as the two other methods MACE and MACS2 to the available ChIP-nexus data. Conclusions: The Q-nexus software is efficient and easy to use. Novel statistics about duplication rates in consideration of random barcodes are calculated. Our method for the estimation of the width of the protected region yields unbiased signatures that are highly reproducible for biological replicates and at the same time very specific for the respective factors analyzed. As judged by the irreproducible discovery rate (IDR), our peak calling algorithm shows a substantially better reproducibility. An implementation of Q-nexus is available at http://charite.github.io/Q/.This project was supported by the Bundesministerium für Bildung und Forschung (BMBF; project no. 0313911 and 13GW0099) and the European Community’s Seventh Framework Programme (grant agreement no. 602300; SYBIL). Furthermore, we acknowledge support of the Spanish Ministry of Economy and Competitiveness, ‘Centro de Excelencia Severo Ochoa 2013-2017’.BioMed Central201720172016info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttp://hdl.handle.net/10230/27873http://dx.doi.org/10.1186/s12864-016-3164-6reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)InglésBMC Genomics. 2016;17:873info:eu-repo/grantAgreement/EC/FP7/602300© The Author(s). 2016. Open Access. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to theCreative Commons license, and indicate if changes were made.http://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:recercat.cat:10230/278732026-05-29T05:05:01Z |
| dc.title.none.fl_str_mv |
Q-nexus: a comprehensive and efficient analysis pipeline designed for ChIP-nexus |
| title |
Q-nexus: a comprehensive and efficient analysis pipeline designed for ChIP-nexus |
| spellingShingle |
Q-nexus: a comprehensive and efficient analysis pipeline designed for ChIP-nexus Hansen, Peter Chromatin immunoprecipitation ChIP-nexus ChIP-exo Duplication rates Library complexity Algorithm Bioinformatics |
| title_short |
Q-nexus: a comprehensive and efficient analysis pipeline designed for ChIP-nexus |
| title_full |
Q-nexus: a comprehensive and efficient analysis pipeline designed for ChIP-nexus |
| title_fullStr |
Q-nexus: a comprehensive and efficient analysis pipeline designed for ChIP-nexus |
| title_full_unstemmed |
Q-nexus: a comprehensive and efficient analysis pipeline designed for ChIP-nexus |
| title_sort |
Q-nexus: a comprehensive and efficient analysis pipeline designed for ChIP-nexus |
| dc.creator.none.fl_str_mv |
Hansen, Peter Hecht, Jochen Ibn-Salem, Jonas Menkuec, Benjamin S. Roskosch, Sebastian Truss, Matthias Robinson, Peter N. |
| author |
Hansen, Peter |
| author_facet |
Hansen, Peter Hecht, Jochen Ibn-Salem, Jonas Menkuec, Benjamin S. Roskosch, Sebastian Truss, Matthias Robinson, Peter N. |
| author_role |
author |
| author2 |
Hecht, Jochen Ibn-Salem, Jonas Menkuec, Benjamin S. Roskosch, Sebastian Truss, Matthias Robinson, Peter N. |
| author2_role |
author author author author author author |
| dc.subject.none.fl_str_mv |
Chromatin immunoprecipitation ChIP-nexus ChIP-exo Duplication rates Library complexity Algorithm Bioinformatics |
| topic |
Chromatin immunoprecipitation ChIP-nexus ChIP-exo Duplication rates Library complexity Algorithm Bioinformatics |
| description |
Background: ChIP-nexus, an extension of the ChIP-exo protocol, can be used to map the borders of protein-bound DNA sequences at nucleotide resolution, requires less input DNA and enables selective PCR duplicate removal using random barcodes. However, the use of random barcodes requires additional preprocessing of the mapping data, which complicates the computational analysis. To date, only a very limited number of software packages are available for the analysis of ChIP-exo data, which have not yet been systematically tested and compared on ChIP-nexus data. Results: Here, we present a comprehensive software package for ChIP-nexus data that exploits the random barcodes for selective removal of PCR duplicates and for quality control. Furthermore, we developed bespoke methods to estimate the width of the protected region resulting from protein-DNA binding and to infer binding positions from ChIP-nexus data. Finally, we applied our peak calling method as well as the two other methods MACE and MACS2 to the available ChIP-nexus data. Conclusions: The Q-nexus software is efficient and easy to use. Novel statistics about duplication rates in consideration of random barcodes are calculated. Our method for the estimation of the width of the protected region yields unbiased signatures that are highly reproducible for biological replicates and at the same time very specific for the respective factors analyzed. As judged by the irreproducible discovery rate (IDR), our peak calling algorithm shows a substantially better reproducibility. An implementation of Q-nexus is available at http://charite.github.io/Q/. |
| publishDate |
2016 |
| dc.date.none.fl_str_mv |
2016 2017 2017 |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
| format |
article |
| status_str |
publishedVersion |
| dc.identifier.none.fl_str_mv |
http://hdl.handle.net/10230/27873 http://dx.doi.org/10.1186/s12864-016-3164-6 |
| url |
http://hdl.handle.net/10230/27873 http://dx.doi.org/10.1186/s12864-016-3164-6 |
| dc.language.none.fl_str_mv |
Inglés |
| language_invalid_str_mv |
Inglés |
| dc.relation.none.fl_str_mv |
BMC Genomics. 2016;17:873 info:eu-repo/grantAgreement/EC/FP7/602300 |
| dc.rights.none.fl_str_mv |
http://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess |
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http://creativecommons.org/licenses/by/4.0/ |
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openAccess |
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application/pdf application/pdf |
| dc.publisher.none.fl_str_mv |
BioMed Central |
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BioMed Central |
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reponame:Recercat. Dipósit de la Recerca de Catalunya instname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya) |
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Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya) |
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Recercat. Dipósit de la Recerca de Catalunya |
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Recercat. Dipósit de la Recerca de Catalunya |
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