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Jason H. Moore, Ph.D.
Title(s):
Frank Lane Research Scholar in Computational Genetics
Professor of Genetics
Professor of Community and Family Medicine
Department(s):
Community and Family Medicine
Genetics
Education:
University of Michigan - PhD 1999
University of Michigan - MA 1998
University of Michigan - MS 1994
Florida State University - BS 1991
Programs:
Molecular and Cellular Biology Graduate Programs
Neuroscience Center at Dartmouth
Norris Cotton Cancer Center
Program in Experimental and Molecular Medicine
Websites:
http://www.epistasis.org
http://compgen.blogspot.com
Contact Information:
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DHMC One Medical Center Dr. HB 7937 Lebanon NH 03756 |
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Office: 706 Rubin Phone: 603-653-9933 Fax: 603-653-9952 Email: Jason.H.Moore@Dartmouth.edu Assistant: Kim Becker Asst. Phone: 603-653-3634 Asst. Email: Kimberly.S.Becker@Dartmouth.EDU |
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Selected Publications: |
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Tyler AL, Asselbergs FW, Williams SM, Moore JH. Shadows of complexity: what biological networks reveal about epistasis and pleiotropy. Bioessays. 2009 Feb;31(2):220-7. (view details on MedLine) Sloan CD, Duell EJ, Shi X, Irwin R, Andrew AS, Williams SM, Moore JH. Ecogeographic genetic epidemiology. Genet Epidemiol. 2009 May;33(4):281-9. (view details on MedLine) Moore, J.H., Barney, N., Tsai, C.T., Chiang, F.T., Gui, J., White, B.C. Symbolic modeling of epistasis. Human Heredity 63, 120-133 (2007) (view details on MedLine) Moore, J.H., Gilbert, J.C., Tsai, C.-T., Chiang, F.T., Holden, W., Barney, N., White, B.C. A flexible computational framework for detecting, characterizing, and interpreting statistical patterns of epistasis in genetic studies of human disease susceptibility. Journal of Theoretical Biology 241, 252-261 (2006) (view details on MedLine) Wilke, R., Reif, D.M., Moore, J.H. Combinatorial pharmacogenetics. Nature Reviews Drug Discovery 4, 911-8 (2005) (view details on MedLine) Moore, J.H., Williams, S.M. Traversing the conceptual divide between biological and statistical epistasis: Systems biology and a more modern synthesis. BioEssays 27, 637-646 (2005) (view details on MedLine) White, B.C., Moore, J.H. Systems biology thought experiments in human genetics using artificial life and grammatical evolution. tificial Life IX. The MIT Press, Cambridge, pp 581-86 (2004) |
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Professional Interests:
Artificial Intelligence, Bioinformatics, Complex Adaptive Systems, Computational Genetics, Data Mining, Digital Genetics, Genetic Epidemiology, Human Genetics, Machine Learning, Scientific Visualization, Statistical Genetics
Courses Taught:
Genetics 146: Molecular and Computational Genomics
Grant Information:
NIH R01 AI59694 (PI - Moore) "Bioinformatics Strategies for Biodefense Vaccine Research"
NIH R01 HD047447 (PI - Moore) "Genetic Basis of Trauma Recovery"
NIH R01 LM009012 (PI - Moore) "Machine Learning Prediction of Cancer Susceptibility"
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