Evidence map›Paper›PMID 29986099›Full record

ArticleNucleic acids research2018

DMRcaller: a versatile R/Bioconductor package for detection and visualization of differentially methylated regions in CpG and non-CpG contexts.

Marco Catoni, Jonathan Mf Tsang, Alessandro P Greco, Nicolae Radu Zabet

Abstract read
In one paragraph

Article in Nucleic acids research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers.

0numbers the graph read from it
0cells of the map it votes in
69citing 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

69 citing papers in PubMed.

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  9. Allele-specific methylation ofScience advances · 2026
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9 more citing papers are in PubMed but not listed here.

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

4 authors.

Marco CatoniThe Sainsbury Laboratory, University of Cambridge, Cambridge CB2 1LR, UK.
Jonathan Mf TsangThe Sainsbury Laboratory, University of Cambridge, Cambridge CB2 1LR, UK.
Alessandro P GrecoSchool of Biological Sciences, University of Essex, Colchester CO4 3SQ, UK.
Nicolae Radu ZabetThe Sainsbury Laboratory, University of Cambridge, Cambridge CB2 1LR, UK.

Funding

European Research Council 322621
6 · The paper itself

Abstract

DNA methylation has been associated with transcriptional repression and detection of differential methylation is important in understanding the underlying causes of differential gene expression. Bisulfite-converted genomic DNA sequencing is the current gold standard in the field for building genome-wide maps at a base pair resolution of DNA methylation. Here we systematically investigate the underlying features of detecting differential DNA methylation in CpG and non-CpG contexts, considering both the case of mammalian systems and plants. In particular, we introduce DMRcaller, a highly efficient R/Bioconductor package, which implements several methods to detect differentially methylated regions (DMRs) between two samples. Most importantly, we show that different algorithms are required to compute DMRs and the most appropriate algorithm in each case depends on the sequence context and levels of methylation. Furthermore, we show that DMRcaller outperforms other available packages and we propose a new method to select the parameters for this tool and for other available tools. DMRcaller is a comprehensive tool for differential methylation analysis which displays high sensitivity and specificity for the detection of DMRs and performs entire genome wide analysis within a few hours.

Indexed as

DNA MethylationSoftwareAlgorithmsAnimalsComputational BiologyCpG IslandsElectronic Data ProcessingHigh-Throughput Nucleotide SequencingHumansMolecular Sequence AnnotationSensitivity and SpecificitySequence Analysis, DNA

Identifiers

PMID29986099
PMCPMC6212837

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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.