4.7 Article

msgbsR: An R package for analysing methylation-sensitive restriction enzyme sequencing data

Journal

SCIENTIFIC REPORTS
Volume 8, Issue -, Pages -

Publisher

NATURE PUBLISHING GROUP
DOI: 10.1038/s41598-018-19655-w

Keywords

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Funding

  1. Bioconductor
  2. National Health and Medical Research Council of Australia (NHMRC) [GNT1059120]
  3. Waite Research Institute Research Capacity Development Funding
  4. Cancer Council of South Australia/SAHMRI Beat Cancer Project [APP1030945]
  5. NHMRC Senior Research Fellowship [GNT1020749]
  6. NHMRC-ARC Dementia Research Development Fellowship [APP1111206]
  7. Australian Postgraduate Award

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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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