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De novo ChIP-seq analysis
Methods for the analysis of chromatin immunoprecipitation sequencing (ChIP-seq) data start by aligning the short reads to a reference genome. While often successful, they are not appropriate for cases where a reference genome is not available. Here we develop methods for de novo analysis of ChIP-seq...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4579611/ https://www.ncbi.nlm.nih.gov/pubmed/26400819 http://dx.doi.org/10.1186/s13059-015-0756-4 |
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author | He, Xin Cicek, A. Ercument Wang, Yuhao Schulz, Marcel H. Le, Hai-Son Bar-Joseph, Ziv |
author_facet | He, Xin Cicek, A. Ercument Wang, Yuhao Schulz, Marcel H. Le, Hai-Son Bar-Joseph, Ziv |
author_sort | He, Xin |
collection | PubMed |
description | Methods for the analysis of chromatin immunoprecipitation sequencing (ChIP-seq) data start by aligning the short reads to a reference genome. While often successful, they are not appropriate for cases where a reference genome is not available. Here we develop methods for de novo analysis of ChIP-seq data. Our methods combine de novo assembly with statistical tests enabling motif discovery without the use of a reference genome. We validate the performance of our method using human and mouse data. Analysis of fly data indicates that our method outperforms alignment based methods that utilize closely related species. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13059-015-0756-4) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4579611 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-45796112015-09-24 De novo ChIP-seq analysis He, Xin Cicek, A. Ercument Wang, Yuhao Schulz, Marcel H. Le, Hai-Son Bar-Joseph, Ziv Genome Biol Method Methods for the analysis of chromatin immunoprecipitation sequencing (ChIP-seq) data start by aligning the short reads to a reference genome. While often successful, they are not appropriate for cases where a reference genome is not available. Here we develop methods for de novo analysis of ChIP-seq data. Our methods combine de novo assembly with statistical tests enabling motif discovery without the use of a reference genome. We validate the performance of our method using human and mouse data. Analysis of fly data indicates that our method outperforms alignment based methods that utilize closely related species. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13059-015-0756-4) contains supplementary material, which is available to authorized users. BioMed Central 2015-09-23 2015 /pmc/articles/PMC4579611/ /pubmed/26400819 http://dx.doi.org/10.1186/s13059-015-0756-4 Text en © He et al. 2015 Open AccessThis 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 the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Method He, Xin Cicek, A. Ercument Wang, Yuhao Schulz, Marcel H. Le, Hai-Son Bar-Joseph, Ziv De novo ChIP-seq analysis |
title | De novo ChIP-seq analysis |
title_full | De novo ChIP-seq analysis |
title_fullStr | De novo ChIP-seq analysis |
title_full_unstemmed | De novo ChIP-seq analysis |
title_short | De novo ChIP-seq analysis |
title_sort | de novo chip-seq analysis |
topic | Method |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4579611/ https://www.ncbi.nlm.nih.gov/pubmed/26400819 http://dx.doi.org/10.1186/s13059-015-0756-4 |
work_keys_str_mv | AT hexin denovochipseqanalysis AT cicekaercument denovochipseqanalysis AT wangyuhao denovochipseqanalysis AT schulzmarcelh denovochipseqanalysis AT lehaison denovochipseqanalysis AT barjosephziv denovochipseqanalysis |