ArticleBioinformatics (Oxford, England)2026
CircadiOmics: bioinformatics platform for circadian rhythms.
Article in Bioinformatics (Oxford, England), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
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Authors and funding
2 authors.
Funding
Abstract
motivationCircadian rhythms are fundamental to biology: they occur at the molecular level across all species and are critical to homeostasis and biological functions. They are also essential for health and medicine, as disruption of circadian regulation has been linked to numerous health problems, and many drug targets exhibit circadian oscillations, highlighting the importance of molecular-level circadian insight for precision medicine. Despite the rapid growth of circadian omic time series datasets, informatics tools for processing and analyzing this growing wealth of data remain limited.
resultsCircadiOmics provides, to the best of our knowledge, the largest repository and analytical platform for circadian omic data, consisting primarily of transcriptomic data, along with metabolomic, proteomic, and acetylomic datasets. CircadiOmics contains 704 omic datasets across 18 species, 30 tissue/organ categories, and 21 experiment types, including genetic manipulations, dietary interventions, and disease-associated conditions. By leveraging this repository, users can access an environment for comparing and visualizing molecular-level circadian oscillations. Periodicity statistics computed using BIO_CYCLE, including period, amplitude, phase, p-values, and q-values, are available as interactive plots and downloadable tables. This updated version of CircadiOmics introduces new features and substantially expanded data coverage, establishing it as a comprehensive resource for the exploration and analysis of circadian omic data. AVAILABILITY AND IMPLEMENTATION: CircadiOmics is freely accessible at: https://circadiomics.igb.uci.edu. The source code for BIO_CYCLE is available on GitHub: https://github.com/BaldiLab/BIO_CYCLE and archived on Zenodo: https://doi.org/10.5281/zenodo.22108329.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.