CircadiOmics

CircadiOmics provides integrated access to and analysis of circadian omic datasets across genomics, transcriptomics, proteomics, and metabolomics to characterize rhythmic molecular dynamics across tissues and species.

Key Features:

• Extensive dataset repository: Hosts over 290 experiments comprising more than 100 million individual measurements spanning over 20 unique tissues/organs and data from 11 different species.
• Visualization and comparison: Enables visualization and comparison of oscillatory trajectories across species, tissues, and experimental conditions.
• Periodicity statistics: Computes period, amplitude, phase, P-value, and q-value for oscillating molecular species using methods such as BIO_CYCLE and JTK_CYCLE.
• Performance and scalability: Incorporates improvements to processing performance and data volume capacity for large-scale circadian omic analyses.

Scientific Applications:

• Study of circadian rhythms: Supports analysis of molecular oscillations to investigate circadian mechanisms underlying homeostasis and physiological processes.
• Cross-tissue and cross-species comparisons: Facilitates comparative analysis of rhythmicity across multiple tissues/organs and species.
• Investigations of health and disease: Enables exploration of the roles of circadian rhythms in health-related and disease-associated molecular dynamics.

Methodology:

Periodic analysis is performed using BIO_CYCLE and JTK_CYCLE to derive period, amplitude, phase, P-value, and q-value for rhythmic molecular species.