Affiliation: Stanford University
- Bacterial flora-typing with targeted, chip-based PyrosequencingAndreas 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...
- Whole-genome sequencing and assembly with high-throughput, short-read technologiesAndreas 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...
- Reconstruction of genealogical relationships with applications to Phase III of HapMapSofia 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)...
- Effect of genetic divergence in identifying ancestral origin using HAPAAAndreas 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...
- Genome-wide analysis of transcription factor binding sites based on ChIP-Seq dataAnton 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...