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Computational Genetics Laboratory

eagle-i ID

http://eagle-i.itmat.upenn.edu/i/00000150-b528-7f36-b538-857980000000

Resource Type

  1. Laboratory

Properties

  1. Resource Description
    "Our research goal is to develop, evaluate and apply novel computational methods and open-source software for identifying genetic and genomic biomarkers associated with human health and disease. Our focus is on methods that embrace, rather than ignore, the complexity of the genotype-to-phenotype mapping relationship due to phenomena such as epistasis and plastic reaction norms. Areas of interest include artificial intelligence, bioinformatics, biomedical informatics, complex systems, computational biology, genetic epidemiology, genomics, human genetics, machine learning, and visual analytics. Our education goal is to provide interdisciplinary training and research experience to undergraduate, graduate, and postgraduate students. Our philosophy is that biomedical researchers of the future need to speak multiple languages to effectively collaborate with diverse teams of people focused on solving the hardest problems in health and healthcare."
  2. PI
    Moore, Jason H., PhD
  3. Affiliation
    Institute for Biomedical Informatics
  4. Website(s)
    http://www.epistasis.org
  5. Secondary affiliation
    Department of Genetics, University of Pennsylvania
  6. Secondary affiliation
    Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania
  7. Secondary affiliation
    University of Pennsylvania Health System
 
RDFRDF
 
Provenance Metadata About This Resource Record
  1. workflow state
    Published
  2. contributor
    fcoldren
  3. created
    2015-10-29T15:53:40.470-04:00
  4. creator
    fcoldren
  5. modified
    2015-11-02T10:23:53.421-05:00
Copyright © 2016 by the President and Fellows of Harvard College
The eagle-i Consortium is supported by NIH Grant #5U24RR029825-02 / Copyright 2016