Ravi Allada

The paper identifies genes involved in sleep homeostasis in Drosophila by analyzing transcriptomic responses across multiple sleep-wake manipulation methods and datasets.

The paper presents a catalog of transcription factor binding sites in Drosophila and C. elegans, revealing tissue-specific regulatory relationships using machine learning.

The paper analyzes bulk RNA sequencing data from Drosophila fat bodies under different temperatures to show temperature-dependent circadian transcriptome changes and gene coordination.

This study shows that dietary restriction in Drosophila affects diurnal rhythms and longevity through clock-controlled proteasome subunits.

SleepMat is a new software program that provides a broader range of circadian and sleep parameter analyses for Drosophila data.

The paper investigates how circadian clock neurons program a sleep homeostat in Drosophila by analyzing sleep rebound after deprivation at different times of day.

This study shows PRL-1 and CK2 collaborate in PDF neurons to regulate morning and evening phase timing under short photoperiod conditions.

This study identifies translation factors that mediate temperature compensation in the circadian clock by altering the temperature dependence of PER protein oscillations.

TimeTrial evaluates cycle detection algorithms in circadian transcriptomics by analyzing real and synthetic data to optimize experimental design and analysis choices.

This paper develops a Drosophila model for TBI and identifies glial immune pathways as mediators of TBI effects on behavior.

The paper improves rhythm detection in sparsely sampled genome-wide expression time series using bootstrapping and empirical Bayes methods, showing better consistency than existing methods.