Ontology highlight
ABSTRACT:
SUBMITTER: Qiao B
PROVIDER: S-EPMC5860874 | biostudies-literature | 2018 Feb
REPOSITORIES: biostudies-literature
eLife 20180227
Despite being pervasive, the control of programmed grooming is poorly understood. We addressed this gap by developing a high-throughput platform that allows long-term detection of grooming in <i>Drosophila melanogaster</i>. In our method, a <i>k</i>-nearest neighbors algorithm automatically classifies fly behavior and finds grooming events with over 90% accuracy in diverse genotypes. Our data show that flies spend ~13% of their waking time grooming, driven largely by two major internal programs. ...[more]