methGraph: a genome visualization tool for PCR-based methylation assays.

Area of Science:

• Epigenetics and Molecular Biology
• Bioinformatics and Computational Biology

Background:

• Aberrant DNA methylation in CpG islands impacts gene regulation and is implicated in diseases like cancer.
• Common methods for studying DNA methylation, such as methylation-specific PCR (MSP) and bisulfite sequencing (BiSeq), require meticulous primer assessment.
• Evaluating PCR primer specificity and genomic positioning is challenging due to bisulfite conversion-induced sequence alterations.

Purpose of the Study:

• To develop methGraph, a web application for efficient and flexible in silico quality assessment of PCR-based DNA methylation assays.
• To provide researchers with an easy-to-use tool for visualizing primer specificity and CpG dinucleotide distribution within genomic context.

Main Methods:

• The methGraph application utilizes the BiSearch ePCR algorithm for primer specificity assessment and genomic mapping.
• Users can select UCSC genome annotation tracks and a custom track displaying CpG dinucleotide distribution within CpG islands.
• The tool generates a BED file for automatic upload to the UCSC Genome Browser, facilitating visualization and download of results.

Main Results:

• MethGraph enables accurate in silico quality evaluation of PCR primers used in DNA methylation analysis.
• The application generates high-quality, customizable figures for publication and presentation.
• Facilitates visualization of primer binding sites relative to CpG islands and genomic annotations.

Conclusions:

• MethGraph offers a streamlined and accurate approach to assessing PCR-based DNA methylation assays.
• The tool enhances the efficiency of experimental design and data interpretation in epigenetics research.
• Improves the visualization and quality control of DNA methylation analysis for publication.