Research Interests

Development of Diagnostic Microarrays

The inherently parallel nature of DNA microarray is ideal for both multi-locus detection of a single agent as well as for simultaneous analysis of a nearly unlimited number of pathogens.  At a theoretical level, DNA microarrays provide an ideal format for the development of multi-pathogen diagnostics.  We have previously pioneered and continue to further develop pan-viral DNA microarrays (the "ViroChip") for both virus detection and discovery.  The ViroChip is capable of simultaneously detecting thousands of known viruses as well as novel members of known viral families. The most recent version of the ViroChip (NCBI GEO platform GPL 3429) contains >20,000 viral oligonucleotides from essentially all sequenced viruses.


We currently are engaged in projects aimed at refining the diagnostic potential of DNA microarrays for both biodefense (NIAID Category A, B and C pathogens) and plant virus diagnostics. A critical component of this project is the development of objective computational strategies for interpretation of pathogen diagnostic microarrays. We have described a robust computational strategy, E-predict (click here to download), to assess the statistical likelihood that a virus is present in a sample based on the observed aggregate microarray hybridization pattern. We are continuing to develop additional novel algorithms to facilitate interpretation of microarray hybridization patterns.