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Related Concept Videos

Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...

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Related Experiment Video

Updated: May 24, 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

Comparison of alignment software for genome-wide bisulphite sequence data.

Aniruddha Chatterjee1, Peter A Stockwell, Euan J Rodger

  • 1Department of Pathology, Dunedin School of Medicine, University of Otago, 270 Great King Street, Dunedin 9054, New Zealand.

Nucleic Acids Research
|February 21, 2012
PubMed
Summary

Next-generation sequencing (NGS) enables genome-wide methylation analysis. This study compares pipelines for processing bisulphite sequencing data, offering guidance for molecular biologists.

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

Targeted DNA Methylation Analysis by Next-generation Sequencing

Published on: February 24, 2015

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Last Updated: May 24, 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

Area of Science:

  • Genomics
  • Epigenetics
  • Bioinformatics

Background:

  • Next-generation sequencing (NGS) technologies allow for rapid interrogation of genome-wide methylation status.
  • Handling and interpreting large-volume methylation sequence data, especially after bisulphite modification, presents significant challenges.

Purpose of the Study:

  • To compare the performance of different pipelines for aligning bisulphite-converted sequencing reads.
  • To provide guidance on pre-processing and quality control for Illumina methylation data.
  • To advance sequence-based methylation data analysis for molecular biologists.

Main Methods:

  • Reduced representation human genomes were sequenced using the Illumina platform.
  • Three distinct pipelines were evaluated for mapping bisulphite-converted sequencing reads.
  • Performance comparison of alignment methods for methylation sequencing data.

Main Results:

  • Differences in performance were observed among the evaluated alignment pipelines.
  • The study provides insights into the pre-processing and quality control of Illumina sequencing data for methylation analysis.
  • Successful mapping and visualization of methylation sequence data were achieved.

Conclusions:

  • The comparison of NGS data processing methods highlights key differences.
  • This work offers practical guidance for optimizing sequence-based methylation data analysis.
  • Advancements in bioinformatics pipelines are crucial for effective epigenomic research.