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Related Experiment Video

Updated: May 14, 2026

Rare Event Detection Using Error-corrected DNA and RNA Sequencing
10:36

Rare Event Detection Using Error-corrected DNA and RNA Sequencing

Published on: August 3, 2018

Ultra-deep mutant spectrum profiling: improving sequencing accuracy using overlapping read pairs.

Haiyin Chen-Harris1, Monica K Borucki, Clinton Torres

  • 1Lawrence Livermore National Laboratory, 7000 East Avenue, Livermore, CA, USA. chen63@llnl.gov

BMC Genomics
|February 14, 2013
PubMed
Summary
This summary is machine-generated.

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Overlapping read pairs (ORP) improve rare variant detection in viral evolution studies by reducing sequencing errors. This method accurately identifies ultra-low frequency mutations, crucial for understanding viral dynamics.

Area of Science:

  • Genomics
  • Virology
  • Bioinformatics

Background:

  • High-throughput sequencing is revolutionizing viral evolution research.
  • Deep sequencing offers high-resolution insights into viral mutant spectra and dynamics.
  • Accurate error modeling is critical to distinguish low-frequency viral mutations from sequencing errors.

Purpose of the Study:

  • To develop and validate a method for accurate rare variant detection in viral populations.
  • To improve the identification of low-frequency genetic mutations within viral samples.

Main Methods:

  • Utilized overlapping read pairs (ORP) by combining short fragment libraries and longer reads.
  • Implemented an optimized error model specifically for variant detection.
  • Applied these methods to analyze viral populations at ultra-low frequencies.

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Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER
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Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER

Published on: June 23, 2012

Related Experiment Videos

Last Updated: May 14, 2026

Rare Event Detection Using Error-corrected DNA and RNA Sequencing
10:36

Rare Event Detection Using Error-corrected DNA and RNA Sequencing

Published on: August 3, 2018

Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER
14:06

Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER

Published on: June 23, 2012

Main Results:

  • Overlapping read pairs significantly reduced sequencing error rates.
  • Rare variant detection accuracy was substantially improved.
  • Successfully captured a large number of genetic mutations at frequencies below 0.05%.

Conclusions:

  • The developed rare variant detection strategies are effective for viral evolution studies.
  • These methods have broad applicability in basic and clinical research requiring rare mutation identification.