With a drastic reduction in costs of high-throughput sequencing, the opportunity to interrogate multiple epigenomic datasets has never been more feasible. The honeybee provides an excellent model in which to integrate and interrogate multiple epigenomic datasets because its genome encodes three distinct organisms/castes; determined by differential nutrition during development. In addition, the honeybee genome is considerably smaller than human thus providing manageable datasets to build and test novel computational tools. These tools will be used to investigate the role of dietary components in establishing caste-specific epigenomic patterns in the honeybee and will also be of utility across multiple different organisms.
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