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Argonne maintains a wide-ranging science and technology portfolio that seeks to address complex challenges in interdisciplinary and innovative ways. Below is a list of all articles, highlights, profiles, projects, and organizations related specifically to genetics.

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  • Machine Learning and Data Science

    We develop and apply machine learning and, more generally, data science approaches both in the context of large-scale atomistic simulations and for imaging and characterization of nanoscale systems.
  • Christopher S. Henry

    Christopher Henry’s primary research is in the field of computational biology with a focus on the prediction of phenotype from genome through the use of comparative genomics, metabolic modeling, and dynamic cellular community models.
  • Midwest Center for Structural Genomics

    The primary objective of the MCSG is to rapidly determine the structures of strategically selected and biomedically important targets, including proteins from pathogens and higher eukaryotes.
  • Center for Structural Genomics of Infectious Diseases

    CSGID applies state-of-the-art high-throughput structural biology technologies to experimentally characterize the three-dimensional atomic structure of targeted proteins from certain pathogens causing emerging and re-emerging infectious diseases.