The BioInformatics Group (BioInfo) in the Computer Science Department at Rice University works on developing accurate and efficient computational models, algorithms, and software tools for solving biological problems.

Modeling and reconstructing complex evolutionary relationships. In this project, we are developing the models, optimization criteria, and algorithms for reconstructing phylogenetic networks, to model the evolution of groups of organisms such as bacteria and plants. (WHO'S WHO IN PHYLOGENETIC NETWORKS)

Multi-locus genotype-phenotype associations. In this project, we are developing the models and techniques for detecting groups of interacting loci which are implicated in certain phenotypes.

Hypothesis generation in signaling networks. In this project, we are formulating and devising efficient algorithms for generating hypotheses about signaling networks, mainly aimed at aiding in the design of effective targeted drugs.

We are grateful to Rice University, the George R. Brown School of Engineering, the Department of Computer Science, the National Science Foundation, and the Department of Energy for their generous support of our work.