Evidence map›Paper›PMID 42675619›Full record

ArticleBioinformatics (Oxford, England)2026

MultiDMPcaller: a one-stop software for detection and visualization of differentially methylated positions and regions.

Qiuyu Yuan, Hongyan Zhao, Zhijun Zhang, Chenhao Yue, Bingchao Zhang, Songyan Xue, Qing Zou, Jiantao Yu

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Qiuyu YuanCollege of Information Engineering, Northwest A&F University, Yangling 712100, China.
Hongyan ZhaoCollege of Information Engineering, Northwest A&F University, Yangling 712100, China.
Zhijun ZhangCollege of Information Engineering, Northwest A&F University, Yangling 712100, China.
Chenhao YueCollege of Information Engineering, Northwest A&F University, Yangling 712100, China.ORCID 0009-0002-0751-8497
Bingchao ZhangCollege of Information Engineering, Northwest A&F University, Yangling 712100, China.
Songyan XueCollege of Information Engineering, Northwest A&F University, Yangling 712100, China.
Qing ZouCollege of Information Engineering, Northwest A&F University, Yangling 712100, China.
Jiantao YuCollege of Information Engineering, Northwest A&F University, Yangling 712100, China.ORCID 0000-0001-7134-9021

Funding

Key Research and Development Program of Shaanxi Province 2025NC-YBXM-023
6 · The paper itself

Abstract

motivationWhole-genome bisulfite sequencing (WGBS/BS-Seq) is the gold standard for single-base resolution DNA methylome profiling. However, the diverse statistical models of existing computational methods lead to limited overlap between their results, highlighting the need for novel methods to detect differentially methylated positions (DMPs) and differentially methylated regions (DMRs).

resultsWe developed MultiDMPcaller, an automated downstream methylome analysis software. It processes upstream outputs to profile DMPs, non-DMPs, DMRs, and context-specific (CpG/CHG/CHH) methylation status, alongside visualizing their chromosomal distribution and enrichment. The software features two key innovations: (i) an adaptive two-step P-value adjustment strategy based on organism-specific methylation patterns, with raw P-value ≤0.05 pre-filtering followed by false discovery rate (FDR) correction, to recover potential DMPs usually missed by standard FDR correction in plant CHG/CHH and animal CpG contexts; and (ii) a multiple pairwise comparison approach, which performs m × n pairwise comparisons for m control and n experimental replicates, followed by a voting system supporting both user-defined majority thresholds and model-based adaptive thresholds, to identify robust and reliable DMPs (with a stricter voting threshold exclusively for loci with low methylation differences) and DMRs. On real datasets from Arabidopsis, apple, and mouse, as well as simulated human datasets, MultiDMPcaller's results showed good agreement with those of other software, exhibiting high conservativeness and superior precision, which suggested a low false discovery proportion. AVAILABILITY AND IMPLEMENTATION: MultiDMPcaller is available at GitHub (https://github.com/jiantaoyuNWAFU/MultiDMPcaller) and via a web server (https://ciebioinfo.nwafu.edu.cn).

Indexed as

DNA MethylationSoftwareAnimalsCpG IslandsHumansSequence Analysis, DNA

Identifiers

PMID42675619
PMCPMC13561517

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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.