Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/127234
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Type: | Journal article |
Title: | msgbsR: An R package for analysing methylation-sensitive restriction enzyme sequencing data |
Author: | Mayne, B. Shalem, L. Buckberry, S. Rodriguez Lopez, C.M. Roberts, C. Bianco-Miotto, T. Breen, J. |
Citation: | Scientific Reports, 2018; 8(1):2190-1-2190-8 |
Publisher: | Nature Publishing Group |
Issue Date: | 2018 |
ISSN: | 2045-2322 2045-2322 |
Statement of Responsibility: | Benjamin T. Mayne, Shalem Y. Leemaqz, Sam Buckberry, Carlos M. Rodriguez Lopez, Claire T. Roberts, Tina Bianco-Miotto & James Breen |
Abstract: | Genotyping-by-sequencing (GBS) or restriction-site associated DNA marker sequencing (RAD-seq) is a practical and cost-effective method for analysing large genomes from high diversity species. This method of sequencing, coupled with methylation-sensitive enzymes (often referred to as methylation-sensitive restriction enzyme sequencing or MRE-seq), is an effective tool to study DNA methylation in parts of the genome that are inaccessible in other sequencing techniques or are not annotated in microarray technologies. Current software tools do not fulfil all methylation-sensitive restriction sequencing assays for determining differences in DNA methylation between samples. To fill this computational need, we present msgbsR, an R package that contains tools for the analysis of methylation-sensitive restriction enzyme sequencing experiments. msgbsR can be used to identify and quantify read counts at methylated sites directly from alignment files (BAM files) and enables verification of restriction enzyme cut sites with the correct recognition sequence of the individual enzyme. In addition, msgbsR assesses DNA methylation based on read coverage, similar to RNA sequencing experiments, rather than methylation proportion and is a useful tool in analysing differential methylation on large populations. The package is fully documented and available freely online as a Bioconductor package (https://bioconductor.org/packages/release/bioc/html/msgbsR.html). |
Keywords: | Prostate Animals Rats DNA Restriction Enzymes Computational Biology DNA Methylation Genome Algorithms Software Male Epigenomics High-Throughput Nucleotide Sequencing |
Description: | Published online: 01 February 2018 |
Rights: | © The Author(s) 2018. Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/. |
DOI: | 10.1038/s41598-018-19655-w |
Grant ID: | http://purl.org/au-research/grants/nhmrc/1059120 http://purl.org/au-research/grants/nhmrc/1020749 http://purl.org/au-research/grants/nhmrc/1111206 |
Published version: | https://www.nature.com/articles/s41598-018-19655-w |
Appears in Collections: | Agriculture, Food and Wine publications Aurora harvest 8 |
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File | Description | Size | Format | |
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hdl_127234.pdf | Published version | 1.29 MB | Adobe PDF | View/Open |
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