Evidence map›Paper›PMID 29391490›Full record

ArticleScientific reports2018

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

Benjamin T Mayne, Shalem Y Leemaqz, Sam Buckberry, Carlos M Rodriguez Lopez, Claire T Roberts, Tina Bianco-Miotto, James Breen

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
  2. PSTVd infection inFrontiers in plant science · 2023
    Article
  3. Article
  4. Computational challenges in detection of cancer using cell-free DNA methylation.Computational and structural biotechnology journal · 2022
    Review
  5. Current Advances in DNA Methylation Analysis Methods.BioMed research international · 2021
    Review
  6. Article
  7. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Benjamin T MayneRobinson Research Institute, University of Adelaide, Adelaide, SA, 5005, Australia. benjamin.mayne@adelaide.edu.au.
Shalem Y LeemaqzRobinson Research Institute, University of Adelaide, Adelaide, SA, 5005, Australia.
Sam BuckberryHarry Perkins Institute of Medical Research, The University of Western Australia, Perth, WA, 6009, Australia.ORCID http://orcid.org/0000-0003-2388-6046
Carlos M Rodriguez LopezEnvironmental Epigenetics and Genetics Group, School of Agriculture, Food and Wine, Waite Research Precinct, University of Adelaide, PMB 1, Glen Osmond, SA, 5064, Australia.ORCID http://orcid.org/0000-0002-9704-9788
Claire T RobertsRobinson Research Institute, University of Adelaide, Adelaide, SA, 5005, Australia.
Tina Bianco-MiottoRobinson Research Institute, University of Adelaide, Adelaide, SA, 5005, Australia.ORCID http://orcid.org/0000-0002-8431-5338
James BreenRobinson Research Institute, University of Adelaide, Adelaide, SA, 5005, Australia. jimmy.breen@adelaide.edu.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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 ).

Indexed as

DNA MethylationSoftwareAlgorithmsAnimalsComputational BiologyDNA Restriction EnzymesEpigenomicsGenomeHigh-Throughput Nucleotide SequencingMaleProstateRatsDNA Restriction Enzymes

Identifiers

PMID29391490
PMCPMC5794748

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.