Research Interests

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

Recent Publications

Kocher JP, Quest DJ, Duffy P, Meiners MA, Moore RM, Rider D, Hossain A, Hart SN, Dinu V. BioR: a Rapid and Flexible System for Genomics Annotation. Bioinformatics (in press)

Mielke CJ, Mandarino LJ, Dinu V. AMASS: A Database for Investigating Protein Structures. Bioinformatics (in press)

Bradley BS, Loftus JC, Mielke CJ, Dinu V. Differential expression of microRNAs as predictors of glioblastoma phenotypes. BMC Bioinformatics 2014; 15:21.

Brown JR, Dinu V. High Performance Computing Methods for the Integration and Analysis of Biomedical Data Using SAS. Computer Methods and Programs in Biomedicine 2013; 112(3):553-562

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.

infinome: Community Science to Fight Obesity

Dr. Clinton "Cosmo" Mielke, former lab member, has recently launched InfinoMe, a community science movement that aims to leverage genetic, health, fitness, and diet data to study obesity.