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Updated: May 4, 2026

High-throughput Identification of Gene Regulatory Sequences Using Next-generation Sequencing of Circular Chromosome Conformation Capture 4C-seq
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Inferring short-range linkage information from sequencing chromatograms.

Bastian Beggel1, Maria Neumann-Fraune2, Rolf Kaiser2

  • 1Department of Computational Biology and Applied Algorithms, Max Planck Institute for Informatics, Saarbrücken, Germany.

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|December 31, 2013
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Summary

This study introduces a computational method to infer linkage information from Sanger sequencing data, improving viral quasispecies analysis. The approach accurately identifies mixture components, aiding in the interpretation of complex viral sequences.

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Area of Science:

  • Bioinformatics
  • Genomics
  • Molecular Biology

Background:

  • Direct Sanger sequencing of viral populations often results in ambiguous sequence positions.
  • Deriving linkage information from sequencing chromatograms is challenging, hindering accurate sequence interpretation.

Purpose of the Study:

  • To develop a computational method for determining viral variants in a quasispecies.
  • To infer linkage information from two nearby ambiguous sequence positions in Sanger sequencing data.

Main Methods:

  • A computational model was developed to analyze Sanger sequencing chromatograms.
  • The model exploits sequence context-dependent dideoxynucleotide incorporation.
  • The model was trained on clonal variants and evaluated on in vitro mixtures.

Main Results:

  • The method achieved 97.4% accuracy for adjacent ambiguous positions and 84.5% for positions three bases apart.
  • Limitations include inability to detect minor variants (<10%) and distinguishing between two or four clonal variants in specific cases.
  • The approach successfully inferred short-range linkage information without prior mixture composition assumptions.

Conclusions:

  • The developed method enhances the interpretation of Sanger sequencing data for viral quasispecies.
  • It provides valuable insights into the capabilities of Sanger sequencing technology.
  • The method offers a way to extract linkage information from ambiguous sequence positions.