diffMONT: predicting methylation-specific PCR biomarkers based on nanopore sequencing data for clinical application.
Key Points
The central aim is to develop a predictive tool for identifying methylation-specific PCR biomarkers from sequencing data.
Developed an open-source Python tool called diffMONT.
Utilized nanopore sequencing data for generating predictions.
Provided access to source code for users via GitHub.
Enabled accurate prediction of methylation-specific biomarkers.
Showcased potential for clinical applications in diagnostics.
Facilitated easier integration of bioinformatics tools for researchers.
Abstract
The source code for diffMONT, an open-source Python-based tool, is available at https://github.com/rnajena/diffMONT/, with an archived release under https://zenodo.org/records/17641031.