The Computational and Statistical Genomics Branch works to develop and apply computationally intensive ways to evaluate large-scale genetic and genomic data, with a special focus on identifying genetic connections to human disease. Several approaches of increasing sophistication have been used to identify the etiology of genetic disorders. The development of new genetic approaches results in the generation of vast volumes of data that must be processed using statistical and computational methods. Innovation in molecular procedures, along with innovation in computer methods, enabled the development of new analytical approaches that could be used to solve even the most difficult problems. Statistical and computational genetics is an interdisciplinary field that is exciting and fast expanding.