We report on the development of a relational genomic search engine that integrates search of structured biological data and biomedical literature. After identifying an optimal preprocessing strategy, we present techniques for gene/protein term normalization, acronym expansion, and compound word normalization. Several retrieval models are evaluated on a large biomedical corpus using a common baseline. The system delivers results that meet or exceed the current state-of-the-art depending on the model used.