Project details

Cancer genome analysis / variant calling

Company: Saint Jude Children's Research Hospital

Period: 2013 - 2014

Duration: 1.2 years (full-time equivalent)

  • Bioinformatics
  • Computational Biology
  • Java
  • Python

Developing and automating large-scale analysis pipelines. These pipelines process DNA sequence data from human, mouse and flu, identify key mutations, and predict their structural and functional effects. These predictions play an integral role in the Pediatric Cancer Genome Project. See http://www.pediatriccancergenomeproject.org/site/.

About me

Upmc fixed half size
Salt Lake City, UT, United States

Senior Software Developer at University of Utah

My skills

  • JavaScript
  • Java
  • Python
  • C++
  • jQuery
  • Machine Learning
  • Bioinformatics
  • Computational Biology



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All Gordon's projects

  • Learning from the Utah Population Database (click to see)
    2014 - Current (2.0 years FTE)
    Client: University of Utah, Dept of Human Genetics
    Industry: Science
    • Bioinformatics
    • Java
    • JavaScript
    • Python
    • jQuery

    Developing and automating large-scale analysis pipelines. These pipelines process DNA sequence data from human, mouse and flu, identify key mutations, and predict their structural and functional effects. These predictions play an integral role in the Pediatric Cancer Genome Project. See http://www.pediatriccancergenomeproject.org/site/.

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  • Cancer genome analysis / variant calling (click to see)
    2013 - 2014 (1.2 years FTE)
    Client: Saint Jude Children's Research Hospital
    Industry: Science
    • Bioinformatics
    • Computational Biology
    • Java
    • Python

    Developing and automating large-scale analysis pipelines. These pipelines process DNA sequence data from human, mouse and flu, identify key mutations, and predict their structural and functional effects. These predictions play an integral role in the Pediatric Cancer Genome Project. See http://www.pediatriccancergenomeproject.org/site/.

  • RosettaLigand (click to see)
    2008 - 2013 (5.8 years FTE)
    Client: Vanderbilt University
    Industry: Pharmaceutical
    • C++
    • Computational Biology
    • Python

    Developing and automating large-scale analysis pipelines. These pipelines process DNA sequence data from human, mouse and flu, identify key mutations, and predict their structural and functional effects. These predictions play an integral role in the Pediatric Cancer Genome Project. See http://www.pediatriccancergenomeproject.org/site/.

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  • Real time PCR primer/probe sensitivity/specificity analysis (click to see)
    2007 - 2007 (16 weeks FTE)
    Client: Lawrence Livermore National Laboratory / DHS
    Industry: Science

    Developing and automating large-scale analysis pipelines. These pipelines process DNA sequence data from human, mouse and flu, identify key mutations, and predict their structural and functional effects. These predictions play an integral role in the Pediatric Cancer Genome Project. See http://www.pediatriccancergenomeproject.org/site/.

  • Characterization of Xenopus tropicalis gene expression during development (click to see)
    2006 - 2006 (20 weeks FTE)
    Client: Lawrence Livermore National Laboratory
    Industry: Science
    • Bioinformatics

    Developing and automating large-scale analysis pipelines. These pipelines process DNA sequence data from human, mouse and flu, identify key mutations, and predict their structural and functional effects. These predictions play an integral role in the Pediatric Cancer Genome Project. See http://www.pediatriccancergenomeproject.org/site/.

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