Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Video

Updated: Jul 8, 2026

Methodology for Accurate Detection of Mitochondrial DNA Methylation
12:11

Methodology for Accurate Detection of Mitochondrial DNA Methylation

Published on: May 20, 2018

DiffMethylTools: a toolbox for the detection, annotation, and visualization of differential methylation.

Houssemeddine Derbel1, Evan Kinnear1, Justin J-L Wong2

  • 1Nevada Institute of Personalized Medicine, University of Nevada, Las Vegas, NV, USA.

Life Science Alliance
|July 6, 2026
PubMed
Summary

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Computational tools for tandem repeat detection using long-read sequencing.

Briefings in bioinformatics·2026
Same author

Oncogenic virus hijacks SOX18 pioneer function to enhance viral persistence.

Research square·2025
Same author

Overexpression of m<sup>7</sup>G writers METTL1 and BUD23 confers oncogenicity in kidney renal clear cell carcinoma.

The Journal of pathology·2025
Same author

DiffMethylTools: a toolbox of the detection, annotation and visualization of differential DNA methylation.

bioRxiv : the preprint server for biology·2025
Same author

Reliable investigation of DNA methylation using Oxford nanopore technologies.

Scientific reports·2025
Same author

IPMK depletion influences genome-wide DNA methylation.

Biochemical and biophysical research communications·2025

DiffMethylTools enhances the detection, annotation, and visualization of differential DNA methylation. This new framework improves reproducibility and performance, especially for long-read methylomes.

Area of Science:

  • Epigenetics
  • Genomics
  • Bioinformatics

Background:

  • DNA methylation is a key epigenetic mechanism regulating gene expression and cell identity.
  • Differential methylation analysis is crucial for understanding human diseases.
  • Existing tools lack integrated detection, annotation, visualization, and robust evaluation on long-read data.

Purpose of the Study:

  • To present DiffMethylTools, an end-to-end framework for differential DNA methylation analysis.
  • To address challenges in detection, annotation, visualization, and reproducibility.
  • To evaluate performance on diverse datasets, including long-read methylomes.

Main Methods:

  • Developed DiffMethylTools, an integrated framework for differential methylation analysis.
  • Incorporated robust detection, comprehensive annotation, and visualization modules.

More Related Videos

Comprehensive DNA Methylation Analysis Using a Methyl-CpG-binding Domain Capture-based Method in Chronic Lymphocytic Leukemia Patients
13:21

Comprehensive DNA Methylation Analysis Using a Methyl-CpG-binding Domain Capture-based Method in Chronic Lymphocytic Leukemia Patients

Published on: June 16, 2017

Methyl-binding DNA capture Sequencing for Patient Tissues
08:40

Methyl-binding DNA capture Sequencing for Patient Tissues

Published on: October 31, 2016

Related Experiment Videos

Last Updated: Jul 8, 2026

Methodology for Accurate Detection of Mitochondrial DNA Methylation
12:11

Methodology for Accurate Detection of Mitochondrial DNA Methylation

Published on: May 20, 2018

Comprehensive DNA Methylation Analysis Using a Methyl-CpG-binding Domain Capture-based Method in Chronic Lymphocytic Leukemia Patients
13:21

Comprehensive DNA Methylation Analysis Using a Methyl-CpG-binding Domain Capture-based Method in Chronic Lymphocytic Leukemia Patients

Published on: June 16, 2017

Methyl-binding DNA capture Sequencing for Patient Tissues
08:40

Methyl-binding DNA capture Sequencing for Patient Tissues

Published on: October 31, 2016

  • Benchmarked DiffMethylTools against four existing tools using six datasets, including three long-read methylomes.

    • Main Results:

    • DiffMethylTools demonstrated superior performance and reproducibility in detecting differential methylation compared to existing tools.
    • The framework showed improved overall performance, particularly on long-read methylome data.
    • Enabled streamlined analysis workflows from detection to biological interpretation.

    Conclusions:

    • DiffMethylTools provides a robust and efficient solution for differential methylation studies.
    • The framework enhances the analysis of both short-read and long-read methylomes.
    • Facilitates downstream biological interpretation through flexible annotation and visualization.