SleepMat: a new behavioral analysis software program for sleep and circadian rhythms
Shiju Sisobhan, Clark Rosensweig, Bridget C. Lear, Ravi Allada
Abstract
STUDY OBJECTIVES: To develop a new publicly available software SleepMat that analyzes Drosophila Activity Monitoring system data. METHODS: The software is built on Matlab platform, employs an easy-to-use graphic user interface, and is highly flexible to customize data inputs. RESULTS: This software provides large number of sleep and circadian parameters including period, actogram, anticipation, sleep amount, bout length, bout number, activity, sleep deprivation, latency, lifespan, and eduction results. CONCLUSIONS: This software will enable a user-friendly high throughput analysis of a broad range of sleep and circadian parameters that can be coupled to the power of Drosophila genetics.