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College of Medicine: Department of Biomedical Informatics
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  1. University of Arkansas for Medical Sciences
  2. College of Medicine
  3. Department of Biomedical Informatics
  4. Labs

Labs

Dr. Donald Johann coauthors paper on Next-Generation Sequencing in High-Impact Journal

Dr. Donald Johann, professor of Biomedical Informatics, is an author on an article in the high-impact journal Genome Biology on ways to improve Next-Generation Sequencing (NGS) assays that use fixed tissue. Precision medicine approaches are revolutionizing the practice of clinical oncology. However, formalin fixed paraffin embedded (FFPE), a routine pathology practice, brings challenges for the […]

Filed Under: Department News, Labs, Publications, Research

Arkansas Clinical Data Repository (AR-CDR)

The Arkansas Clinical Data Repository (AR-CDR) is a research data warehouse that provides a single and secure source of data for use in clinical and translational research. Since its launch in 2011, the AR-CDR has enabled UAMS researchers and faculty to conduct high quality, timely and efficient clinical and translational research. The AR-CDR houses data […]

Filed Under: Labs

Arkansas Center for Genomic & Ecological Medicine (ArC-GEM)

Under Dr. David Ussery’s leadership, the Arkansas Center for Genomic & Ecological Medicine’s (ArC-GEM) work in third-generation sequencing has exciting potential applications for a range of emerging infections, including current collaboration with the Arkansas Department of Health on a project that could lead to rapid diagnosis of the Zika virus. Biomedical informatics extracts knowledge from […]

Filed Under: Labs Tagged With: ecological medicine, genomic medicine, ussery

Biomedical Ontologies Arkansas (BOAR)

Under the direction of Dr. Mathias Brochhausen, the Biomedical Ontologies Arkansas (BOAR) mission is to improve the gathering, managing, transforming and sharing of biomedical data. Biomedical Data is data created to better understand health, disease, and their biological foundations. Biomedical Ontologies are integral in integrating and interpreting the biomedical data.

Filed Under: Labs Tagged With: biomedical ontologies, brochhausen

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Phone: (501) 686-7000
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