Recent advances in biological sciences continue to generate more and more whole genome data. Within 5 years, a whole human genome will be able to be sequenced for $100. New sequencing technology will produce terabytes of genomic data per day. With this exponentially increasing amount of data, efficient computational algorithms and software tools are absolutely necessary to study life at the genome level.  Bioinformatics or Computational Biology is the computational study of the genome for: personalized medicine, determining the causes of diseases, the study of how organisms are related, and understanding of the processes of life. It involves the development of combinatorial search algorithms, string algorithms, databases, statistical modeling, and advanced heuristics.  Drs. Quinn Snell and Mark Clement will present an introduction to Computational Biology and the research conducted in the Computational Sciences Laboratory and BYU. In particular, they will address whole genome algorithms and the analysis of genetic regulatory networks.