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Updated: May 14, 2026

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Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER
Published on: June 23, 2012
Viral population analysis and minority-variant detection using short read next-generation sequencing.
Simon J Watson1, Matthijs R A Welkers, Daniel P Depledge
1Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SA, UK.
Summary
This study introduces the QUASR pipeline to reduce sequencing errors in viral RNA analysis. QUASR improves accuracy for detecting low-frequency viral variants and understanding virus evolution.
Area of Science:
- Virology
- Genomics
- Bioinformatics
Background:
- RNA viruses exist as diverse populations of variants within hosts.
- Viral variant frequencies fluctuate due to evolutionary changes.
- Deep sequencing offers high-resolution analysis of viral populations.
Purpose of the Study:
- To develop and assess a bioinformatics pipeline (QUASR) for analyzing virus genome short reads.
- To minimize sequencing errors in deep-sequencing data for accurate variant detection.
- To enable post-mapping analysis of low-frequency viral variants.
Main Methods:
- Development of the Quality Assessment of Short Read (QUASR) Pipeline.
- Application of QUASR to analyze influenza virus (A/H1N1/09) genome dynamics.
- Utilizing data from Roche 454 GSFLX and Illumina GAIIx sequencing platforms.
Main Results:
- QUASR significantly reduces error-related noise in deep-sequencing datasets.
- The pipeline increases mapping accuracy and decreases erroneous mutations.
- Concordance between sequencing platforms enabled unambiguous minority-variant detection.
Conclusions:
- QUASR pipeline effectively minimizes sequencing errors in viral deep-sequencing data.
- The tool enhances the accuracy of identifying low-frequency viral variants.
- QUASR facilitates precise determination of virus population turnover and genome dynamics.
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