CircaVal: a gene-centric multi-omics platform for exploring circadian regulatory features.

CircaVal integrates standardized multi-omics pipelines and an integrated rhythmicity score (IRS) to prioritize candidate rhythmic genes across humans, mice, and baboons.

• Why it matters: Multilayer circadian regulation is hard to characterize because rhythmic signals are scattered across independent datasets and measured with different analytical methods.
• What they did: The platform processes public datasets with data-type-specific pipelines, links gene rhythmicity to tissue expression, cross-species orthology, functional annotations, and multi-omics regulatory features, and computes an IRS combining method concordance and dataset reproducibility.
• The result: Users can compare rhythmicity across datasets and species, find tissue-enriched rhythmic genes, and explore regulatory features, enabling quantitative gene-level prioritization and interpretation across omics types.

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