Member Profile
Thomas Girke
Dissecting dynamic endosomal recycling in plants.
A National Science foundation ChemGen Interdisciplinary Graduate Research and Training (ChemGen IGERT) program-sponsored study has led to the identification of over 350 synthetic compounds that disrupt endomembrane... More »
About Me
The research in my group focuses on the development of novel tools and algorithms for comparative genomics, data mining, cellular network analysis, quanitative systems modeling and drug discovery. One of our major projects is the development of predictive cheminformatics tools for the discovery of novel bioactive compounds for chemical genomics research and drug discovery. The publicly available ChemMine database is part of this effort. Another research focus is the integration and modeling of large-scale ‘omics’ data from model organisms, such as gene expression profiling, proteomics and regulatory network data. For these analyses we develop and utilize a variety of comparative genomics, network analysis and machine learning approaches.
