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msPIPE: a pipeline for the analysis and visualization of whole-genome bisulfite sequencing data

BACKGROUND: DNA methylation is an important epigenetic modification that is known to regulate gene expression. Whole-genome bisulfite sequencing (WGBS) is a powerful method for studying cytosine methylation in a whole genome. However, it is difficult to obtain methylation profiles using the WGBS raw...

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Autores principales: Kim, Heesun, Sim, Mikang, Park, Nayoung, Kwon, Kisang, Kim, Junyoung, Kim, Jaebum
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9487059/
https://www.ncbi.nlm.nih.gov/pubmed/36123620
http://dx.doi.org/10.1186/s12859-022-04925-2
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author Kim, Heesun
Sim, Mikang
Park, Nayoung
Kwon, Kisang
Kim, Junyoung
Kim, Jaebum
author_facet Kim, Heesun
Sim, Mikang
Park, Nayoung
Kwon, Kisang
Kim, Junyoung
Kim, Jaebum
author_sort Kim, Heesun
collection PubMed
description BACKGROUND: DNA methylation is an important epigenetic modification that is known to regulate gene expression. Whole-genome bisulfite sequencing (WGBS) is a powerful method for studying cytosine methylation in a whole genome. However, it is difficult to obtain methylation profiles using the WGBS raw reads and is necessary to be proficient in all types of bioinformatic tools for the study of DNA methylation. In addition, recent end-to-end pipelines for DNA methylation analyses are not sufficient for addressing those difficulties. RESULTS: Here we present msPIPE, a pipeline for DNA methylation analyses with WGBS data seamlessly connecting all the required tasks ranging from data pre-processing to multiple downstream DNA methylation analyses. The msPIPE can generate various methylation profiles to analyze methylation patterns in the given sample, including statistical summaries and methylation levels. Also, the methylation levels in the functional regions of a genome are computed with proper annotation. The results of methylation profiles, hypomethylation, and differential methylation analysis are plotted in publication-quality figures. The msPIPE can be easily and conveniently used with a Docker image, which includes all dependent packages and software related to DNA methylation analyses. CONCLUSION: msPIPE is a new end-to-end pipeline designed for methylation calling, profiling, and various types of downstream DNA methylation analyses, leading to the creation of publication-quality figures. msPIPE allows researchers to process and analyze the WGBS data in an easy and convenient way. It is available at https://github.com/jkimlab/msPIPE and https://hub.docker.com/r/jkimlab/mspipe. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12859-022-04925-2.
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spelling pubmed-94870592022-09-21 msPIPE: a pipeline for the analysis and visualization of whole-genome bisulfite sequencing data Kim, Heesun Sim, Mikang Park, Nayoung Kwon, Kisang Kim, Junyoung Kim, Jaebum BMC Bioinformatics Software BACKGROUND: DNA methylation is an important epigenetic modification that is known to regulate gene expression. Whole-genome bisulfite sequencing (WGBS) is a powerful method for studying cytosine methylation in a whole genome. However, it is difficult to obtain methylation profiles using the WGBS raw reads and is necessary to be proficient in all types of bioinformatic tools for the study of DNA methylation. In addition, recent end-to-end pipelines for DNA methylation analyses are not sufficient for addressing those difficulties. RESULTS: Here we present msPIPE, a pipeline for DNA methylation analyses with WGBS data seamlessly connecting all the required tasks ranging from data pre-processing to multiple downstream DNA methylation analyses. The msPIPE can generate various methylation profiles to analyze methylation patterns in the given sample, including statistical summaries and methylation levels. Also, the methylation levels in the functional regions of a genome are computed with proper annotation. The results of methylation profiles, hypomethylation, and differential methylation analysis are plotted in publication-quality figures. The msPIPE can be easily and conveniently used with a Docker image, which includes all dependent packages and software related to DNA methylation analyses. CONCLUSION: msPIPE is a new end-to-end pipeline designed for methylation calling, profiling, and various types of downstream DNA methylation analyses, leading to the creation of publication-quality figures. msPIPE allows researchers to process and analyze the WGBS data in an easy and convenient way. It is available at https://github.com/jkimlab/msPIPE and https://hub.docker.com/r/jkimlab/mspipe. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12859-022-04925-2. BioMed Central 2022-09-19 /pmc/articles/PMC9487059/ /pubmed/36123620 http://dx.doi.org/10.1186/s12859-022-04925-2 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Software
Kim, Heesun
Sim, Mikang
Park, Nayoung
Kwon, Kisang
Kim, Junyoung
Kim, Jaebum
msPIPE: a pipeline for the analysis and visualization of whole-genome bisulfite sequencing data
title msPIPE: a pipeline for the analysis and visualization of whole-genome bisulfite sequencing data
title_full msPIPE: a pipeline for the analysis and visualization of whole-genome bisulfite sequencing data
title_fullStr msPIPE: a pipeline for the analysis and visualization of whole-genome bisulfite sequencing data
title_full_unstemmed msPIPE: a pipeline for the analysis and visualization of whole-genome bisulfite sequencing data
title_short msPIPE: a pipeline for the analysis and visualization of whole-genome bisulfite sequencing data
title_sort mspipe: a pipeline for the analysis and visualization of whole-genome bisulfite sequencing data
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9487059/
https://www.ncbi.nlm.nih.gov/pubmed/36123620
http://dx.doi.org/10.1186/s12859-022-04925-2
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