Bioinformatics Core Staff
Algorithm for Sequence Analysis
Dr. Rouchka's laboratory is primarily interested in algorithmic development and design for use with high throughput genomic and transcriptomic data. The laboratory has ongoing research in the areas of understanding gene regulation from both a transcriptional and translational point of view as well as in the area of systems biology for understanding cross-tissue signalling through an ongoing collaboration with the Petruska lab. Dr. Rouchka's team also uses publicly available next-generation sequence data for studying genomic variation.
RNA Sequencing Analysis
Dr. Park's research interest is in bioinformatics and computational genomics. Bioinformatics is, by nature, interdisciplinary. It combines computational and biological research together to answer important biological questions, including how diseases like cancer develop. His research focuses on the analysis of alternative mRNA splicing and its regulation in eukaryotic cells using high-throughput RNA sequencing (RNA-seq) and related genomic technologies, including their applications in biology. He also develops novel computational and statistical methods for analysis of massive genome and transcriptome data.
Networks and Data Visualization
Dr. Chariker's research is focused on the effective use of visualization for scientific discovery. Visualization is a powerful tool for uncovering meaningful patterns in data. Patterns that are difficult or impossible to find in numerical representations of data, may be immediately apparent using an appropriate visualization technique. However, choosing an effective method of visualization can be challenging for scientists dealing with large scale, multidimensional data sets, such as those produced by next-generation sequencing technologies. Many traditional approaches to visualization become ineffective with large scale data, and newer methods of visualization, designed for visualizing large data sets, have not been well-evaluated in terms of their effectiveness. Dr. Chariker is interested in understanding how these new methods of visualization can be used effectively in scientific analysis.