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Related Experiment Video

Updated: Apr 17, 2026

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

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A trimming-and-retrieving alignment scheme for reduced representation bisulfite sequencing.

Xuefeng Wang1, Xiaoqing Yu2, Wei Zhu2

  • 1Department of Preventive Medicine, Department of Biomedical Informatics, and Department of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, NY 11794, Department of Biostatistics, Yale University, New Haven, CT 06520, Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, Department of Pathology, Stony Brook University, Stony Brook, NY 11794, Department of Medicine, Washington University St Louis, St Louis, MO 63110 and Department of Medicine, Stony Brook University, Stony Brook, NY 11794, USA Department of Preventive Medicine, Department of Biomedical Informatics, and Department of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, NY 11794, Department of Biostatistics, Yale University, New Haven, CT 06520, Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, Department of Pathology, Stony Brook University, Stony Brook, NY 11794, Department of Medicine, Washington University St Louis, St Louis, MO 63110 and Department of Medicine, Stony Brook University, Stony Brook, NY 11794, USA Department of Preventive Medicine, Department of Biomedical Informatics, and Department of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, NY 11794, Department of Biostatistics, Yale University, New Haven, CT 06520, Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, Department of Pathology, Stony Brook University, Stony Brook, NY 11794, Department of Medicine, Washington University St Louis, St Louis, MO 63110 and Department of Medicine, Stony Brook University, Stony Brook, NY 11794, USA.

Bioinformatics (Oxford, England)
|February 15, 2015
PubMed
Summary
This summary is machine-generated.

This study introduces a new DNA methylation analysis method that improves read mapping and CpG site coverage for bisulfite sequencing data. The automated toolkit enhances DNA methylation pattern investigation, especially for NextSeq data.

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Area of Science:

  • Epigenetics
  • Bioinformatics
  • Genomics

Background:

  • Bisulfite sequencing is crucial for DNA methylation analysis.
  • Existing tools often show low mapping rates and methylation calls, particularly with NextSeq data.

Purpose of the Study:

  • To develop an improved method for analyzing DNA methylation patterns from bisulfite sequencing data.
  • To address the limitations of current tools in mapping rates and CpG site coverage.

Main Methods:

  • A sequential trimming-and-retrieving alignment approach was developed.
  • The method is implemented in an automated analysis toolkit.

Main Results:

  • The new approach significantly enhances the number of mapped reads.
  • It also improves the coverage of CpG sites in bisulfite sequencing data.

Conclusions:

  • The developed toolkit offers a more effective solution for DNA methylation analysis.
  • This method is particularly beneficial for processing NextSeq Illumina data.