ArticleScientific reports2018
msgbsR: An R package for analysing methylation-sensitive restriction enzyme sequencing data.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Unravelling DNA methylation dynamics during developmental stages in Quercus ilex subsp. ballota [Desf.] Samp.BMC plant biology · 2024Article
- PSTVd infection inFrontiers in plant science · 2023Article
- Additive and non-additive epigenetic signatures of natural hybridization between fish species with different mating systems.Epigenetics · 2022Article
- Computational challenges in detection of cancer using cell-free DNA methylation.Computational and structural biotechnology journal · 2022Review
- Current Advances in DNA Methylation Analysis Methods.BioMed research international · 2021Review
- A cost-effective approach to DNA methylation detection by Methyl Sensitive DArT sequencing.PloS one · 2020Article
- DNA methylation data by sequencing: experimental approaches and recommendations for tools and pipelines for data analysis.Clinical epigenetics · 2019Review
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Authors and funding
7 authors.
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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 ).
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