Areas of Research

From developing biomedical ontologies to designing clinical information systems, we conduct studies that provide the data infrastructure necessary to perform translational and clinical genomic research more efficiently.

  • deep sequencing
  • multiple sequence alignments
  • genomewide association studies
  • protein structure prediction
  • drug discovery pipelines
  • Galaxy
  • Birdsuite to PLINK pipeline
  • formats for gene sequences
  • formats for proteins and peptides
  • cluster analysis
  • microarray
  • high-throughput studies (e.g., shRNA)
  • docking algorithms for drug and marker discovery (i.e., 3-D conformational rendering software)
  • ontologies
  • translational informatics
  • electronic health records
  • personal health records
  • computerized physician order entry
  • electronic quality monitoring
  • educational informatics
  • expert systems
  • models of health care workflow
  • systems engineering
  • translational informatics
  • ethical issues in health informatics
  • population health informatics
  • mobile computing
  • ethical issues
  • biosurveillance
  • ontology-based epidemiology
  • ontology-based payment for health services
  • public health data standards
  • population-based research
  • health IT policy
  • ontology development
  • formal languages
  • ontology instantiation
  • ontology usage in research
  • ontology usage in clinical practice
  • terminology/ontology services
  • natural language processing
  • health systems
  • systems engineering
  • cognitive informatics
  • human factors engineering
  • human-centered design
  • usability testing
  • simulation
  • sociotechnical issues in health informatics
  • management of health systems
  • systems science