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Related Experiment Video

Updated: May 7, 2026

Enhanced Reduced Representation Bisulfite Sequencing for Assessment of DNA Methylation at Base Pair Resolution
13:47

Enhanced Reduced Representation Bisulfite Sequencing for Assessment of DNA Methylation at Base Pair Resolution

Published on: February 24, 2015

BSeQC: quality control of bisulfite sequencing experiments.

Xueqiu Lin1, Deqiang Sun, Benjamin Rodriguez

  • 1Department of Bioinformatics, School of Life sciences and Technology, Tongji University, Shanghai 20092, China, Dan L. Duncan Cancer Center and Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX 77030, USA.

Bioinformatics (Oxford, England)
|September 26, 2013
PubMed
Summary

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A new tool, BSeQC, offers quality control for bisulfite sequencing (BS-seq) data. It removes technical biases to improve DNA methylation quantification accuracy.

Area of Science:

  • Genomics
  • Epigenetics
  • Bioinformatics

Background:

  • Bisulfite sequencing (BS-seq) is the gold standard for genome-wide DNA methylation analysis at single-nucleotide resolution.
  • Quality control (QC) is essential for BS-seq data integrity, but existing tools lack BS-seq specific features.
  • Technical biases in BS-seq experiments can lead to inaccurate methylation level estimations.

Purpose of the Study:

  • To develop a dedicated quality control tool for bisulfite sequencing data.
  • To address the need for evaluating and removing technical biases specific to BS-seq protocols.
  • To improve the accuracy of DNA methylation quantification.

Main Methods:

  • Developed BSeQC, a software package for comprehensive BS-seq quality evaluation.

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DNA Methylation: Bisulphite Modification and Analysis
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DNA Methylation: Bisulphite Modification and Analysis

Published on: October 21, 2011

Related Experiment Videos

Last Updated: May 7, 2026

Enhanced Reduced Representation Bisulfite Sequencing for Assessment of DNA Methylation at Base Pair Resolution
13:47

Enhanced Reduced Representation Bisulfite Sequencing for Assessment of DNA Methylation at Base Pair Resolution

Published on: February 24, 2015

Targeted DNA Methylation Analysis by Next-generation Sequencing
08:38

Targeted DNA Methylation Analysis by Next-generation Sequencing

Published on: February 24, 2015

DNA Methylation: Bisulphite Modification and Analysis
12:34

DNA Methylation: Bisulphite Modification and Analysis

Published on: October 21, 2011

  • BSeQC processes standard SAM/BAM files as input.
  • The tool automatically trims nucleotides with potential technical biases.

    • Main Results:

    • BSeQC generates bias-free SAM/BAM files suitable for downstream analysis.
    • Evaluation using real BS-seq data demonstrated significant improvement in methylation level quantification.
    • The developed tool effectively identifies and mitigates technical biases.

    Conclusions:

    • BSeQC provides a robust solution for BS-seq data quality control.
    • The use of BSeQC leads to more accurate DNA methylation measurements.
    • This tool enhances the reliability of genome-wide DNA methylation studies.