Our research interests are the assessment, improvement, and development of computational approaches, software applications and databases that will facilitate the management, integration and analysis of diverse sources of biomedical data.
In order to benefit human health, advances in the genomics area must be translated into improvements in clinical care. A better understanding of the underlying biological and environmental factors that influence disease ("bench") will lead to the development of practical applications to directly benefit the outcome of patient care ("bedside"). A key component of translational research is the management, integration and analysis of large quantities of data from both the biosciences and clinical domains.
Recent media coverage of research performed by the Dinu lab and collaborators
- "New collaboration targets rare, deadly malignancy" - ASU News
- "Biodesign, Phoenix Children's Partner on Pediatric Cancer Sequencing Project " - GenomeWeb
- "Phoenix Children's Hospital, ASU researchers investigate rare cancer strain " - The State Press
Huang, K.*, Yellapantula, V.*, Baier, L. and Dinu, V. NGSPE: A pipeline for end-to-end analysis of DNA sequencing data and comparison between different platforms. Computers in Biology and Medicine 2013; 43(9):1171-1176.
New Bionformatics Database Server!
We would like to announce the release of Amass Server, a web-accessible database server that can be used to visualize and explore protein sequence features as they relate to structural features, and to discover connections between functionally important sites within protein structures.