Osvaldo Zagordi

Summary

Affiliation: Swiss Federal Institute of Technology
Country: Switzerland

Publications

  1. ncbi Deep sequencing of a genetically heterogeneous sample: local haplotype reconstruction and read error correction
    Osvaldo Zagordi
    Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland
    J Comput Biol 17:417-28. 2010
  2. ncbi Error correction of next-generation sequencing data and reliable estimation of HIV quasispecies
    Osvaldo Zagordi
    Department of Biosystems Sciences and Engineering, ETH Zurich, Mattenstrasse 26, 4058 Basel, Germany
    Nucleic Acids Res 38:7400-9. 2010
  3. ncbi ShoRAH: estimating the genetic diversity of a mixed sample from next-generation sequencing data
    Osvaldo Zagordi
    Department of Biosystems Science and Engineering, ETH Zurich, Mattenstrasse 26, 4058 Basel, Switzerland
    BMC Bioinformatics 12:119. 2011

Detail Information

Publications3

  1. ncbi Deep sequencing of a genetically heterogeneous sample: local haplotype reconstruction and read error correction
    Osvaldo Zagordi
    Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland
    J Comput Biol 17:417-28. 2010
    ..The method is evaluated on simulated data and on experimental deep sequencing data obtained from HIV samples...
  2. ncbi Error correction of next-generation sequencing data and reliable estimation of HIV quasispecies
    Osvaldo Zagordi
    Department of Biosystems Sciences and Engineering, ETH Zurich, Mattenstrasse 26, 4058 Basel, Germany
    Nucleic Acids Res 38:7400-9. 2010
    ..We conclude that pyrosequencing can be used to investigate genetically diverse samples with high accuracy if technical errors are properly treated...
  3. ncbi ShoRAH: estimating the genetic diversity of a mixed sample from next-generation sequencing data
    Osvaldo Zagordi
    Department of Biosystems Science and Engineering, ETH Zurich, Mattenstrasse 26, 4058 Basel, Switzerland
    BMC Bioinformatics 12:119. 2011
    ..However, while these technologies have the ability to produce enormous volumes of data, the sequence reads are prone to error. This poses fundamental hurdles when genetic diversity is investigated...