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EpiMOLAS: an intuitive web-based framework for genome-wide DNA methylation analysis

BACKGROUND: DNA methylation is a crucial epigenomic mechanism in various biological processes. Using whole-genome bisulfite sequencing (WGBS) technology, methylated cytosine sites can be revealed at the single nucleotide level. However, the WGBS data analysis process is usually complicated and chall...

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Autores principales: Su, Sheng-Yao, Lu, I-Hsuan, Cheng, Wen-Chih, Chung, Wei-Chun, Chen, Pao-Yang, Ho, Jan-Ming, Chen, Shu-Hwa, Lin, Chung-Yen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7114791/
https://www.ncbi.nlm.nih.gov/pubmed/32241255
http://dx.doi.org/10.1186/s12864-019-6404-8
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author Su, Sheng-Yao
Lu, I-Hsuan
Cheng, Wen-Chih
Chung, Wei-Chun
Chen, Pao-Yang
Ho, Jan-Ming
Chen, Shu-Hwa
Lin, Chung-Yen
author_facet Su, Sheng-Yao
Lu, I-Hsuan
Cheng, Wen-Chih
Chung, Wei-Chun
Chen, Pao-Yang
Ho, Jan-Ming
Chen, Shu-Hwa
Lin, Chung-Yen
author_sort Su, Sheng-Yao
collection PubMed
description BACKGROUND: DNA methylation is a crucial epigenomic mechanism in various biological processes. Using whole-genome bisulfite sequencing (WGBS) technology, methylated cytosine sites can be revealed at the single nucleotide level. However, the WGBS data analysis process is usually complicated and challenging. RESULTS: To alleviate the associated difficulties, we integrated the WGBS data processing steps and downstream analysis into a two-phase approach. First, we set up the required tools in Galaxy and developed workflows to calculate the methylation level from raw WGBS data and generate a methylation status summary, the mtable. This computation environment is wrapped into the Docker container image DocMethyl, which allows users to rapidly deploy an executable environment without tedious software installation and library dependency problems. Next, the mtable files were uploaded to the web server EpiMOLAS_web to link with the gene annotation databases that enable rapid data retrieval and analyses. CONCLUSION: To our knowledge, the EpiMOLAS framework, consisting of DocMethyl and EpiMOLAS_web, is the first approach to include containerization technology and a web-based system for WGBS data analysis from raw data processing to downstream analysis. EpiMOLAS will help users cope with their WGBS data and also conduct reproducible analyses of publicly available data, thereby gaining insights into the mechanisms underlying complex biological phenomenon. The Galaxy Docker image DocMethyl is available at https://hub.docker.com/r/lsbnb/docmethyl/. EpiMOLAS_web is publicly accessible at http://symbiosis.iis.sinica.edu.tw/epimolas/.
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spelling pubmed-71147912020-04-07 EpiMOLAS: an intuitive web-based framework for genome-wide DNA methylation analysis Su, Sheng-Yao Lu, I-Hsuan Cheng, Wen-Chih Chung, Wei-Chun Chen, Pao-Yang Ho, Jan-Ming Chen, Shu-Hwa Lin, Chung-Yen BMC Genomics Software BACKGROUND: DNA methylation is a crucial epigenomic mechanism in various biological processes. Using whole-genome bisulfite sequencing (WGBS) technology, methylated cytosine sites can be revealed at the single nucleotide level. However, the WGBS data analysis process is usually complicated and challenging. RESULTS: To alleviate the associated difficulties, we integrated the WGBS data processing steps and downstream analysis into a two-phase approach. First, we set up the required tools in Galaxy and developed workflows to calculate the methylation level from raw WGBS data and generate a methylation status summary, the mtable. This computation environment is wrapped into the Docker container image DocMethyl, which allows users to rapidly deploy an executable environment without tedious software installation and library dependency problems. Next, the mtable files were uploaded to the web server EpiMOLAS_web to link with the gene annotation databases that enable rapid data retrieval and analyses. CONCLUSION: To our knowledge, the EpiMOLAS framework, consisting of DocMethyl and EpiMOLAS_web, is the first approach to include containerization technology and a web-based system for WGBS data analysis from raw data processing to downstream analysis. EpiMOLAS will help users cope with their WGBS data and also conduct reproducible analyses of publicly available data, thereby gaining insights into the mechanisms underlying complex biological phenomenon. The Galaxy Docker image DocMethyl is available at https://hub.docker.com/r/lsbnb/docmethyl/. EpiMOLAS_web is publicly accessible at http://symbiosis.iis.sinica.edu.tw/epimolas/. BioMed Central 2020-04-02 /pmc/articles/PMC7114791/ /pubmed/32241255 http://dx.doi.org/10.1186/s12864-019-6404-8 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 Software
Su, Sheng-Yao
Lu, I-Hsuan
Cheng, Wen-Chih
Chung, Wei-Chun
Chen, Pao-Yang
Ho, Jan-Ming
Chen, Shu-Hwa
Lin, Chung-Yen
EpiMOLAS: an intuitive web-based framework for genome-wide DNA methylation analysis
title EpiMOLAS: an intuitive web-based framework for genome-wide DNA methylation analysis
title_full EpiMOLAS: an intuitive web-based framework for genome-wide DNA methylation analysis
title_fullStr EpiMOLAS: an intuitive web-based framework for genome-wide DNA methylation analysis
title_full_unstemmed EpiMOLAS: an intuitive web-based framework for genome-wide DNA methylation analysis
title_short EpiMOLAS: an intuitive web-based framework for genome-wide DNA methylation analysis
title_sort epimolas: an intuitive web-based framework for genome-wide dna methylation analysis
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7114791/
https://www.ncbi.nlm.nih.gov/pubmed/32241255
http://dx.doi.org/10.1186/s12864-019-6404-8
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