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Jason H. Moore, B.S., M.A., M.S., Ph.D.

Title(s):
Professor of Genetics
Professor of Community and Family Medicine
Third Century Professor
Director of the Institute for Quantitative Biomedical Sciences (iQBS)
Director of the Graduate Program in Quantitative Biomedical Sciences (QBS)
Associate Director, Norris-Cotton Cancer Center (NCCC)
Associate Director, SYNERGY
Editor-in-Chief, BioData Mining

Department(s):
Genetics
Community and Family Medicine

Education:
University of Michigan - PhD 1999 (Human Genetics)
University of Michigan - MA 1998 (Applied Statistics)
University of Michigan - MS 1994 (Human Genetics)
Florida State University - BS 1991 (Biological Sciences)

Programs:
Molecular and Cellular Biology Graduate Programs
Molecular Pathogenesis Program
Neuroscience Center at Dartmouth
Norris Cotton Cancer Center
Quantitative Biomedical Sciences
SYNERGY

Websites:
http://www.epistasis.org
http://www.iqbs.org
http://compgen.blogspot.com
http://www.twitter.com/moorejh

Contact Information:

DHMC
One Medical Center Dr.
HB 7937
Lebanon NH 03756

Office: 706 Rubin
Phone: 603-653-9939
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


Professional Interests:

Artificial Intelligence, Artificial Life, Biodefense, Bioinformatics, Biomedical Informatics, Biostatistics, Canalization, Cancer, Cardiovascular Disease, Clinical Informatics, Complex Adaptive Systems, Computational Biology, Computational Genetics, Computational Intelligence, Data Mining, Digital Genetics, Environmental Health Sciences, Epidemiology, Epistasis, Evolutionary Computing, Functional Genomics, Gene-Environment Interaction, Genetic Architecture, Genetic Epidemiology, Genetic Heterogeneity, Genome-Wide Association Studies, Genomics, Human-Computer Interaction, Human Genetics, Information Visualization, Machine Learning, Metagenomics, Network Science, Neuropsychiatric Disease, Personal Genetics, Personalized Medicine, Pharmacogenetics, Pleiotropy, Reaction Norms, Software, Statistical Genetics, Systems Biology, Video Games, Visual Analytics

Rotations and Thesis Projects:

Rotation students are always welcome. Research projects range from applied analysis of complex biomedical data to theoretical aspects of computer science, complex adaptive systems and bioinformatics.

Grant Information:

NIH R01 AI59694 (PI - Moore) "Bioinformatics Strategies for Biodefense Vaccine Research"

NIH R01 LM009012 (PI - Moore) "Machine Learning Prediction of Cancer Susceptibility"

NIH R01 LM010098 (PI - Moore) "Bioinformatics Strategies for Genome-Wide Association Analysis"

NIH R01 EY022300 (PI - Moore) "Bioinformatics Approaches for Visual Disease Genetics"

NIH R01 LM011360 (PI - Moore) "Bioinformatics Strategies for Multidimensional Brain Imaging"

NIH P20 RR024475 (PI - Moore) "Quantitative Biology Research Institute"

NIH R25 CA134286 (PI - Moore) "Training Program for Quantitative Population Sciences"

NIH R41 GM097765 (PI - Moore) “CG-GRID: Computational Genetics Grid Resource for Interaction Discovery”

Courses Taught:

GEN/QBS 146: Molecular and Computational Genomics

Biography:

Dr. Moore was an Ingram Associate Professor of Cancer Research and a member of the Center for Human Genetics Research at Vanderbilt University before joining the faculty at The Geisel School of Medicine at Dartmouth in 2004. He was elected a Fellow of the American Association for the Advancement of Science (AAAS) in 2011. He was selected as a Kavli Fellow of the National Academy of Sciences in 2013. He serves as Editor-in-Chief of the journal BioData Mining.


Selected Publications:

 

Davis MA, Gilbert-Diamond D, Karagas MR, Li Z, Moore JH, Williams SM, Frost HR
A Dietary-Wide Association Study (DWAS) of Environmental Metal Exposure in US Children and Adults.
PLoS One 2014; 9(9):e104768
PMID: 25198543

Zieselman AL, Fisher JM, Hu T, Andrews PC, Greene CS, Shen L, Saykin AJ, Moore JH
Computational genetics analysis of grey matter density in Alzheimer's disease.
BioData Min 2014; 7:17
PMID: 25165488

Yan J, Du L, Kim S, Risacher SL, Huang H, Moore JH, Saykin AJ, Shen L
Transcriptome-guided amyloid imaging genetic analysis via a novel structured sparse learning algorithm.
Bioinformatics 2014 Sep 1; 30(17):i564-i571
PMID: 25161248

Hu T, Banzhaf W, Moore JH
The Effects of Recombination on Phenotypic Exploration and Robustness in Evolution.
Artif Life 2014 Aug 22; :1-14
PMID: 25148550

Pechenick DA, Payne JL, Moore JH
Phenotypic robustness and the assortativity signature of human transcription factor networks.
PLoS Comput Biol 2014 Aug; 10(8):e1003780
PMID: 25121490

Penrod NM, Moore JH
Data Science Approaches to Pharmacogenetics.
Curr Mol Med 2014 Aug 11;
PMID: 25109795

Malley JD, Moore JH
First complex, then simple.
BioData Min 2014; 7:13
PMID: 25076985

Ciesielski TH, Pendergrass SA, White MJ, Kodaman N, Sobota RS, Huang M, Bartlett J, Li J, Pan Q, Gui J, Selleck SB, Amos CI, Ritchie MD, Moore JH, Williams SM
Diverse convergent evidence in the genetic analysis of complex disease: coordinating omic, informatic, and experimental evidence to better identify and validate risk factors.
BioData Min 2014; 7:10
PMID: 25071867

Malley JD, Moore JH
Innovation is often unnerving: the door into summer.
BioData Min 2014; 7:12
PMID: 25057294

Urbanowicz RJ, Granizo-Mackenzie AL, Kiralis J, Moore JH
A classification and characterization of two-locus, pure, strict, epistatic models for simulation and detection.
BioData Min 2014; 7:8
PMID: 25057293