Once a critical region for a genetic disease is identified on a chromosome, the work has just begun for the researcher who is charged with finding the candidate genes. Manually searching across numerous rapidly changing expression and phenotype databases is error-prone and time consuming, so Marc van Driel and his colleagues at the Center for Molecular and Biomolecular Informatics (CMBI) at the University of Nijmegen in the Netherlands decided to automate the process.

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