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Just as genes interact in complex ways, so too do biological datasets. For example, say that “resource A” contains information about protein families, but “resource B” has a repository of protein structures. To the biologist who researches proteins, those separate resources would ideally be brought together under the same (online) roof. That is exactly what Biozon.org—a database developed by a lab at Cornell University and now based at Stanford University—offers. Biozon.org integrates information from a variety of databases and other sources to create a unified resource emphasizing DNA and protein classification and characterization. A schematic on the homepage provides an overview of the types of information included in the database. The eight categories are: protein families, domains, pathways, proteins, structures, interactions, nucleic acids, and Unigene cluster. In addition to the database itself, Biozon.org also includes a few analysis tools and some downloadable software and files.