Andreas Sundquist

Summary

Affiliation: Stanford University
Country: USA

Publications

  1. pmc Bacterial flora-typing with targeted, chip-based Pyrosequencing
    Andreas Sundquist
    Department of Computer Science, Stanford University, Stanford, CA 94305, USA
    BMC Microbiol 7:108. 2007
  2. pmc Whole-genome sequencing and assembly with high-throughput, short-read technologies
    Andreas Sundquist
    Department of Computer Science, Stanford University, Stanford, California, United States of America
    PLoS ONE 2:e484. 2007
  3. pmc Reconstruction of genealogical relationships with applications to Phase III of HapMap
    Sofia Kyriazopoulou-Panagiotopoulou
    Department of Computer Science, Biomedical Informatics Training Program, Stanford University School of Medicine, Stanford, CA 94305, USA
    Bioinformatics 27:i333-41. 2011
  4. pmc Effect of genetic divergence in identifying ancestral origin using HAPAA
    Andreas Sundquist
    Department of Computer Science, Stanford University, Stanford, California 94305, USA
    Genome Res 18:676-82. 2008
  5. pmc Genome-wide analysis of transcription factor binding sites based on ChIP-Seq data
    Anton Valouev
    Department of Pathology, Stanford University Medical Center, 300 Pasteur Drive, Stanford, California 94305, USA
    Nat Methods 5:829-34. 2008

Detail Information

Publications5

  1. pmc Bacterial flora-typing with targeted, chip-based Pyrosequencing
    Andreas Sundquist
    Department of Computer Science, Stanford University, Stanford, CA 94305, USA
    BMC Microbiol 7:108. 2007
    ..In particular, classifying the microbial content of samples by sequencing the < 1,600 bp 16S rRNA gene will be affected by such limitations...
  2. pmc Whole-genome sequencing and assembly with high-throughput, short-read technologies
    Andreas Sundquist
    Department of Computer Science, Stanford University, Stanford, California, United States of America
    PLoS ONE 2:e484. 2007
    ..Thus, we have demonstrated that truly inexpensive de novo sequencing of mammalian genomes will soon be possible with high-throughput, short-read technologies using our methodology...
  3. pmc Reconstruction of genealogical relationships with applications to Phase III of HapMap
    Sofia Kyriazopoulou-Panagiotopoulou
    Department of Computer Science, Biomedical Informatics Training Program, Stanford University School of Medicine, Stanford, CA 94305, USA
    Bioinformatics 27:i333-41. 2011
    ..g. aunt-niece versus niece-aunt or first cousins versus great aunt-niece)...
  4. pmc Effect of genetic divergence in identifying ancestral origin using HAPAA
    Andreas Sundquist
    Department of Computer Science, Stanford University, Stanford, California 94305, USA
    Genome Res 18:676-82. 2008
    ..Using HAPAA, we explore the limits of ancestry inference in closely related populations...
  5. pmc Genome-wide analysis of transcription factor binding sites based on ChIP-Seq data
    Anton Valouev
    Department of Pathology, Stanford University Medical Center, 300 Pasteur Drive, Stanford, California 94305, USA
    Nat Methods 5:829-34. 2008
    ..By combining QuEST analyses with Gene Ontology (GO) annotations and expression data, we illustrate how general functions of transcription factors can be inferred...