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MOABS: model based analysis of bisulfite sequencing data
Bisulfite sequencing (BS-seq) is the gold standard for studying genome-wide DNA methylation. We developed MOABS to increase the speed, accuracy, statistical power and biological relevance of BS-seq data analysis. MOABS detects differential methylation with 10-fold coverage at single-CpG resolution b...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4054608/ https://www.ncbi.nlm.nih.gov/pubmed/24565500 http://dx.doi.org/10.1186/gb-2014-15-2-r38 |
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author | Sun, Deqiang Xi, Yuanxin Rodriguez, Benjamin Park, Hyun Jung Tong, Pan Meong, Mira Goodell, Margaret A Li, Wei |
author_facet | Sun, Deqiang Xi, Yuanxin Rodriguez, Benjamin Park, Hyun Jung Tong, Pan Meong, Mira Goodell, Margaret A Li, Wei |
author_sort | Sun, Deqiang |
collection | PubMed |
description | Bisulfite sequencing (BS-seq) is the gold standard for studying genome-wide DNA methylation. We developed MOABS to increase the speed, accuracy, statistical power and biological relevance of BS-seq data analysis. MOABS detects differential methylation with 10-fold coverage at single-CpG resolution based on a Beta-Binomial hierarchical model and is capable of processing two billion reads in 24 CPU hours. Here, using simulated and real BS-seq data, we demonstrate that MOABS outperforms other leading algorithms, such as Fisher’s exact test and BSmooth. Furthermore, MOABS analysis can be easily extended to differential 5hmC analysis using RRBS and oxBS-seq. MOABS is available at http://code.google.com/p/moabs/. |
format | Online Article Text |
id | pubmed-4054608 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-40546082014-06-12 MOABS: model based analysis of bisulfite sequencing data Sun, Deqiang Xi, Yuanxin Rodriguez, Benjamin Park, Hyun Jung Tong, Pan Meong, Mira Goodell, Margaret A Li, Wei Genome Biol Method Bisulfite sequencing (BS-seq) is the gold standard for studying genome-wide DNA methylation. We developed MOABS to increase the speed, accuracy, statistical power and biological relevance of BS-seq data analysis. MOABS detects differential methylation with 10-fold coverage at single-CpG resolution based on a Beta-Binomial hierarchical model and is capable of processing two billion reads in 24 CPU hours. Here, using simulated and real BS-seq data, we demonstrate that MOABS outperforms other leading algorithms, such as Fisher’s exact test and BSmooth. Furthermore, MOABS analysis can be easily extended to differential 5hmC analysis using RRBS and oxBS-seq. MOABS is available at http://code.google.com/p/moabs/. BioMed Central 2014 2014-02-24 /pmc/articles/PMC4054608/ /pubmed/24565500 http://dx.doi.org/10.1186/gb-2014-15-2-r38 Text en Copyright © 2014 Sun 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 credited. 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 Sun, Deqiang Xi, Yuanxin Rodriguez, Benjamin Park, Hyun Jung Tong, Pan Meong, Mira Goodell, Margaret A Li, Wei MOABS: model based analysis of bisulfite sequencing data |
title | MOABS: model based analysis of bisulfite sequencing data |
title_full | MOABS: model based analysis of bisulfite sequencing data |
title_fullStr | MOABS: model based analysis of bisulfite sequencing data |
title_full_unstemmed | MOABS: model based analysis of bisulfite sequencing data |
title_short | MOABS: model based analysis of bisulfite sequencing data |
title_sort | moabs: model based analysis of bisulfite sequencing data |
topic | Method |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4054608/ https://www.ncbi.nlm.nih.gov/pubmed/24565500 http://dx.doi.org/10.1186/gb-2014-15-2-r38 |
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