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Related Concept Videos

RNA-seq03:21

RNA-seq

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RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases. 
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
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Related Experiment Video

Updated: Mar 26, 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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HBS-Tools for Hairpin Bisulfite Sequencing Data Processing and Analysis.

Ming-An Sun1, Karthik Raja Velmurugan2, David Keimig1

  • 1Epigenomics and Computational Biology Lab, Virginia Bioinformatics Institute, Virginia Tech, Blacksburg, VA 24061, USA.

Advances in Bioinformatics
|January 23, 2016
PubMed
Summary

A new computational tool, HBS-tools, analyzes hairpin bisulfite sequencing (hairpin-BS-Seq) data. This tool enhances DNA methylation analysis by improving mapping efficiency and reducing processing time for double-stranded DNA methylation patterns.

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Area of Science:

  • Genomics
  • Bioinformatics
  • Molecular Biology

Background:

  • Genome-wide hairpin bisulfite sequencing (hairpin-BS-Seq) allows simultaneous determination of DNA double-strand methylation patterns.
  • This technique offers improved methylation fidelity and mapping efficiency over traditional bisulfite sequencing (BS-Seq).
  • A lack of dedicated computational tools hinders the analysis of hairpin-BS-Seq data.

Purpose of the Study:

  • To develop a computational toolset for analyzing genome-wide hairpin-BS-Seq data.
  • To provide tools for preprocessing, mapping, methylation calling, and summarizing hairpin-BS-Seq datasets.
  • To address the unmet need for specialized bioinformatics software in this emerging field.

Main Methods:

  • Development of a command-line based toolset named HBS-tools.
  • Utilizing paired-end hairpin-BS-Seq reads to reconstruct original DNA sequences via global alignment.
  • Mapping reconstructed sequences to a reference genome for methylation status determination on both DNA strands.

Main Results:

  • HBS-tools successfully preprocesses, maps, and calls methylation for hairpin-BS-Seq data.
  • Application of HBS-tools demonstrated reduced mapping time compared to existing tools.
  • HBS-tools achieved improved mapping efficiency for hairpin-BS-Seq datasets.

Conclusions:

  • HBS-tools provides a comprehensive solution for hairpin-BS-Seq data analysis.
  • The developed tools offer significant improvements in speed and efficiency for DNA methylation studies.
  • HBS-tools is freely available, facilitating wider adoption and research in epigenomics.