Evidence map›Paper›PMID 40140766›Full record

ArticleBMC bioinformatics2025

Methylmap: visualization of modified nucleotides for large cohort sizes.

Elise Coopman, Svenn D'Hert, Rosa Rademakers, Wouter De Coster

Abstract read
In one paragraph

Article in BMC bioinformatics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Elise CoopmanVIB Center for Molecular Neurology, VIB, Universiteitsplein 1, 2610, Wilrijk, Antwerp, Belgium.
Svenn D'HertVIB Center for Molecular Neurology, VIB, Universiteitsplein 1, 2610, Wilrijk, Antwerp, Belgium.
Rosa RademakersVIB Center for Molecular Neurology, VIB, Universiteitsplein 1, 2610, Wilrijk, Antwerp, Belgium.
Wouter De CosterVIB Center for Molecular Neurology, VIB, Universiteitsplein 1, 2610, Wilrijk, Antwerp, Belgium. wouter.decoster@uantwerpen.be.ORCID http://orcid.org/0000-0002-5248-8197

Funding

Fonds Wetenschappelijk Onderzoek 12ASR24NFonds Wetenschappelijk Onderzoek G064223N
6 · The paper itself

Abstract

backgroundOver the years, there has been growing interest in epigenetics, where nucleotide modifications are increasingly recognized for their roles in health and disease. Understanding methylation patterns at the nucleotide level has become pivotal for advancing this field. However, visualizing these modifications, particularly in cohorts of more than a few individuals, remains a challenge.

resultsHere, we present methylmap, a tool developed to visualize modified nucleotide frequencies for regions of interest, specifically optimized for cohort sizes with more than a few individuals. Furthermore, methylmap features the visualization of the haplotype-specific methylation status of 226 individuals of the 1000 Genomes Project ONT Sequencing Consortium, sequenced using the Oxford Nanopore Technologies PromethION. This resource provides the research community with a comprehensive and complete overview of genome-wide methylation patterns.

conclusionsMethylmap offers an easy-to-use platform to facilitate epigenetic research. It is available both as a web application at https://methylmap.bioinf.be and as a command-line tool through Bioconda and PyPI. As such, we provide a valuable resource for advancing the understanding of epigenetic modifications in health and disease.

Indexed as

DNA MethylationEpigenomicsNucleotidesSoftwareCohort StudiesEpigenesis, GeneticHaplotypesHumansNucleotides1000 GenomesEpigeneticsMethylationModificationsONTVisualization

Identifiers

PMID40140766
PMCPMC11948879

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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.