Related Experiment Video
Updated: Feb 19, 2026

14:56
Sample Preparation to Bioinformatics Analysis of DNA Methylation: Association Strategy for Obesity and Related Trait Studies
Published on: May 6, 2022
5.2K
Integrating DNA Methylation and Hydroxymethylation Data with the Mint Pipeline
Raymond G Cavalcante1, Snehal Patil1, Yongseok Park2
1Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan.
Cancer Research
|November 3, 2017
Summary
We developed the Methylation INTegration (mint) pipeline to analyze DNA methylation (5mC) and hydroxymethylation (5hmC) data. This tool helps differentiate these epigenetic marks, crucial for understanding development, cancer, and environmental responses.
Area of Science:
- Epigenetics
- Genomics
- Bioinformatics
Background:
- DNA methylation (5mC) and hydroxymethylation (5hmC) are key epigenetic marks regulating mammalian development, oncogenesis, and environmental responses.
- Current gold-standard sequencing methods cannot distinguish between 5mC and 5hmC, necessitating specialized analysis.
- Differentiating these marks is critical for accurate biological interpretation and cancer research.
Purpose of the Study:
- To develop a computational pipeline for comprehensive analysis of DNA methylation and hydroxymethylation data.
- To integrate data from bisulfite conversion and immunoprecipitation assays.
- To provide tools for visualization and interpretation of epigenetic modifications.
Main Methods:
- Development of the Methylation INTegration (mint) pipeline.
- Support for analyzing bisulfite conversion and immunoprecipitation-based assays.
- Implementation as both a command-line tool and a Galaxy graphical user interface.
Main Results:
- The mint pipeline enables comprehensive analysis of 5mC and 5hmC data.
- The tool facilitates integration, visualization, and interpretation of epigenetic data.
- Both command-line and GUI versions offer flexibility and require minimal configuration.
Conclusions:
- The mint pipeline effectively supports the analysis of distinct DNA methylation and hydroxymethylation marks.
- This tool aids researchers in differentiating and interpreting 5mC and 5hmC, advancing epigenetic studies.
- mint enhances the analysis of epigenetic data for applications in development, cancer, and environmental response research.

