The completion of the human genome sequencing signaled the “official” transformation of biology into an information science. The BioInformatics (BioInfo) Group at Rice University’s Computer Science department works on reasoning about and answering biological questions through novel development and applications of computational methodologies for analyzing biological data.

 

We work on a variety of biological questions including, but not limited to, phylogenetic networks and the phylogenomics of bacteria and plants, gene tree incongruence and species tree inference, ancestral recombination graphs and evolutionary analysis of populations, the coalescent and evolution of interaction networks, intra- and inter-cellular signaling in cancer, gene networks and detection of complex genotype-phenotype associations. We take an evolution-centric approach to almost all questions we work on.  

 

Work in our group involves mathematical modeling, algorithm design, software development, performance studies, and data analysis. We are always looking for motivated individuals (undergraduate, graduate, and post-doctoral),who are intrigued by both the biology and computing aspects of our interdisciplinary projects, to join our group.