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BCREval: a computational method to estimate the bisulfite conversion ratio in WGBS

BACKGROUND: Whole genome bisulfite sequencing (WGBS) also known as BS-seq has been widely used to measure the methylation of whole genome at single-base resolution. One of the key steps in the assay is converting unmethylated cytosines into thymines (BS conversion). Incomplete conversion of unmethyl...

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Autores principales: Zhou, Junhua, Zhao, Minqiong, Sun, Zefang, Wu, Feilong, Liu, Yucong, Liu, Xianghua, He, Zuping, He, Quanze, He, Quanyuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6995172/
https://www.ncbi.nlm.nih.gov/pubmed/32005131
http://dx.doi.org/10.1186/s12859-019-3334-z
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author Zhou, Junhua
Zhao, Minqiong
Sun, Zefang
Wu, Feilong
Liu, Yucong
Liu, Xianghua
He, Zuping
He, Quanze
He, Quanyuan
author_facet Zhou, Junhua
Zhao, Minqiong
Sun, Zefang
Wu, Feilong
Liu, Yucong
Liu, Xianghua
He, Zuping
He, Quanze
He, Quanyuan
author_sort Zhou, Junhua
collection PubMed
description BACKGROUND: Whole genome bisulfite sequencing (WGBS) also known as BS-seq has been widely used to measure the methylation of whole genome at single-base resolution. One of the key steps in the assay is converting unmethylated cytosines into thymines (BS conversion). Incomplete conversion of unmethylated cytosines can introduce false positive methylation call. Developing a quick method to evaluate bisulfite conversion ratio (BCR) is benefit for both quality control and data analysis of WGBS. RESULTS: Here we provide a computational method named “BCREval” to estimate the unconverted rate (UCR) by using telomeric repetitive DNA as native spike-in control. We tested the method by using public WGBS data and found that it is very stable and most of BS conversion assays can achieve> 99.5% efficiency. The non-CpG DNA methylation at telomere fits a binomial model and may result from a random process with very low possibility (the ratio < 0.4%). And the comparison between BCREval and Bismark (Krueger and Andrews, Bioinformatics 27:1571–1572, 2011), a widely used BCR evaluator, suggests that our algorithm is much faster and more efficient than the latter. CONCLUSION: Our method is a simple but robust method to QC and speculates BCR for WGBS experiments to make sure it achieves acceptable level. It is faster and more efficient than current tools and can be easily integrated into presented WGBS pipelines.
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spelling pubmed-69951722020-02-04 BCREval: a computational method to estimate the bisulfite conversion ratio in WGBS Zhou, Junhua Zhao, Minqiong Sun, Zefang Wu, Feilong Liu, Yucong Liu, Xianghua He, Zuping He, Quanze He, Quanyuan BMC Bioinformatics Methodology Article BACKGROUND: Whole genome bisulfite sequencing (WGBS) also known as BS-seq has been widely used to measure the methylation of whole genome at single-base resolution. One of the key steps in the assay is converting unmethylated cytosines into thymines (BS conversion). Incomplete conversion of unmethylated cytosines can introduce false positive methylation call. Developing a quick method to evaluate bisulfite conversion ratio (BCR) is benefit for both quality control and data analysis of WGBS. RESULTS: Here we provide a computational method named “BCREval” to estimate the unconverted rate (UCR) by using telomeric repetitive DNA as native spike-in control. We tested the method by using public WGBS data and found that it is very stable and most of BS conversion assays can achieve> 99.5% efficiency. The non-CpG DNA methylation at telomere fits a binomial model and may result from a random process with very low possibility (the ratio < 0.4%). And the comparison between BCREval and Bismark (Krueger and Andrews, Bioinformatics 27:1571–1572, 2011), a widely used BCR evaluator, suggests that our algorithm is much faster and more efficient than the latter. CONCLUSION: Our method is a simple but robust method to QC and speculates BCR for WGBS experiments to make sure it achieves acceptable level. It is faster and more efficient than current tools and can be easily integrated into presented WGBS pipelines. BioMed Central 2020-01-31 /pmc/articles/PMC6995172/ /pubmed/32005131 http://dx.doi.org/10.1186/s12859-019-3334-z Text en © The Author(s). 2020 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 Methodology Article
Zhou, Junhua
Zhao, Minqiong
Sun, Zefang
Wu, Feilong
Liu, Yucong
Liu, Xianghua
He, Zuping
He, Quanze
He, Quanyuan
BCREval: a computational method to estimate the bisulfite conversion ratio in WGBS
title BCREval: a computational method to estimate the bisulfite conversion ratio in WGBS
title_full BCREval: a computational method to estimate the bisulfite conversion ratio in WGBS
title_fullStr BCREval: a computational method to estimate the bisulfite conversion ratio in WGBS
title_full_unstemmed BCREval: a computational method to estimate the bisulfite conversion ratio in WGBS
title_short BCREval: a computational method to estimate the bisulfite conversion ratio in WGBS
title_sort bcreval: a computational method to estimate the bisulfite conversion ratio in wgbs
topic Methodology Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6995172/
https://www.ncbi.nlm.nih.gov/pubmed/32005131
http://dx.doi.org/10.1186/s12859-019-3334-z
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