Our research involves
identifying, validating and integrating scientific information into encyclopedic databases essential for investigation as well as scientific education. Published results of scientific experimentation are a foundation of our understanding of the natural world and provide motivation for new experiments. The combination of in-depth understanding reported in the literature with computational analyses is an essential ingredient of modern biological research. Mastery of the volumes of published literature requires comprehensive databases that provide the facts and underlying experimental data in publically accessible ways. Curation, extraction and sorting of factual experimental data, of peer-reviewed journal articles is necessary to acquire these data from its source. Large quantitative datasets using global studies extend our knowledge of genes, their products and their interactions. By integrating quantitative datasets with curated focused experimental results creates unique comprehensive databases. The lab creates such essential databases and makes them available to scientists and educators seeking to understand experimental results and to teach scientific knowledge.