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Updated: Aug 14, 2025

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Enhanced Reduced Representation Bisulfite Sequencing for Assessment of DNA Methylation at Base Pair Resolution
Published on: February 24, 2015
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ABSP: an automated R tool to efficiently analyze region-specific CpG methylation from bisulfite sequencing PCR
Marie Denoulet1,2, Mathilde Brulé1,2, François Anquez3
1CNRS, Inserm, CHU Lille, UMR9020-U1277 - CANTHER-Cancer Heterogeneity Plasticity and Resistance to Therapies, University of Lille, Lille F-59000, France.
Bioinformatics (Oxford, England)
|January 11, 2023
Summary
A new R-based tool, ABSP, automates the analysis of bisulfite sequencing PCR (BSP) data. This tool simplifies CpG methylation level quantification from direct-BSP and cloning-BSP, improving accuracy and efficiency.
Area of Science:
- Epigenetics and molecular biology
- Genomics and bioinformatics
Background:
- Epigenetic gene regulation is crucial in development and disease.
- Bisulfite sequencing PCR (BSP) is a common method for quantifying CpG methylation.
- Existing tools lack comprehensive analysis for all BSP data types, necessitating manual, error-prone processing.
Purpose of the Study:
- To develop a user-friendly, automated tool for analyzing bisulfite sequencing PCR (BSP) data.
- To provide a complete analytical process for both direct-BSP and cloning-BSP data.
- To facilitate accurate quantification and comparison of CpG methylation levels.
Main Methods:
- Implementation of a new R-based tool named ABSP.
- Inputting raw sequencing trace files (.ab1).
- Automated computation and comparison of CpG methylation percentages with quality control and graphics generation.
Main Results:
- ABSP offers a complete analytical process for direct-BSP and cloning-BSP data.
- The tool is fully automated with a user-friendly R shiny app interface.
- ABSP generates publication-ready graphics and includes quality control steps.
Conclusions:
- ABSP provides an efficient and accurate solution for analyzing BSP data.
- The tool addresses the limitations of manual data processing.
- ABSP enhances the study of epigenetic gene regulation by simplifying methylation analysis.

