Phillip McClurg

Summary

Affiliation: Genomics Institute of the Novartis Research Foundation
Country: USA

Publications

  1. pmc Comparative analysis of haplotype association mapping algorithms
    Phillip McClurg
    Genomics Institute of the Novartis Research Foundation, San Diego, USA
    BMC Bioinformatics 7:61. 2006
  2. pmc Gene set enrichment in eQTL data identifies novel annotations and pathway regulators
    Chunlei Wu
    Genomics Institute of the Novartis Research Foundation, San Diego, California, United States of America
    PLoS Genet 4:e1000070. 2008
  3. pmc Genomewide association analysis in diverse inbred mice: power and population structure
    Phillip McClurg
    Genomics Institute of the Novartis Research Foundation, San Diego, California 92121, USA
    Genetics 176:675-83. 2007

Detail Information

Publications3

  1. pmc Comparative analysis of haplotype association mapping algorithms
    Phillip McClurg
    Genomics Institute of the Novartis Research Foundation, San Diego, USA
    BMC Bioinformatics 7:61. 2006
    ..As the availability of genotyping data grows in size and density, analysis of these haplotype association mapping methods should be of increasing value to the statistical genetics community...
  2. pmc Gene set enrichment in eQTL data identifies novel annotations and pathway regulators
    Chunlei Wu
    Genomics Institute of the Novartis Research Foundation, San Diego, California, United States of America
    PLoS Genet 4:e1000070. 2008
    ..We believe that the specific molecular hypotheses generated in this study will reveal many additional pathway members and regulators, and that the analysis approaches described herein will be broadly applicable to other eQTL data sets...
  3. pmc Genomewide association analysis in diverse inbred mice: power and population structure
    Phillip McClurg
    Genomics Institute of the Novartis Research Foundation, San Diego, California 92121, USA
    Genetics 176:675-83. 2007
    ..These eQTL data confirmed that the MDP is a suitable mapping population for QTL discovery and that eQTL results can serve as a gold standard for relative measures of statistical power...