Abstract: Technology is disclosed for identifying dynamic groups that correspond to a user of a system. A system partitions a set of dynamic groups into multiple test sets of dynamic groups. The system selects a test set and determines whether the user corresponds to the test set. In one implementation, the system combines the filters for the dynamic groups in each test set into a single test set filter. The test set filter is satisfied if the filter of any dynamic group in the test set is satisfied. This allows the system to perform a single comparison between the resulting test set filter and the user's profile to determine whether the user is a member of any dynamic group in the test set. If the user is not a member of any dynamic group in the test set, the system eliminates all of the test set's dynamic groups from consideration, based on the single comparison. Otherwise, the dynamic groups in the test set remain in a list of groups that may include the user. This process is repeated for each test set.

Abstract: Genome browsers are software tools for visualizing DNA sequence in the context of its annotation. Genome browsers are critical tools for assisting the analytical task of manually integrating annotations from various algorithms, none of which are 100% trusted. All genome browsers use some combination of stacking and banding annotations around a sequence. The spreadsheet is a vehicle for presenting stacked and banded annotation. Gadget is a new genome browser that uses a spreadsheet-like interface to organize annotation. Gadget's layout is useful and simple to implement using pre-existing software libraries.