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. 2022 Jun 14:13:882044.
doi: 10.3389/fgene.2022.882044. eCollection 2022.

RhythmicDB: A Database of Predicted Multi-Frequency Rhythmic Transcripts

Stefano Castellana  1 , Tommaso Biagini  1 , Francesco Petrizzelli  1 , Andrea Cabibbo  2 , Gianluigi Mazzoccoli  3 , Tommaso Mazza  1
Affiliations

RhythmicDB: A Database of Predicted Multi-Frequency Rhythmic Transcripts

Stefano Castellana et al. Front Genet. .

Abstract

The physiology and behavior of living organisms are featured by time-related variations driven by molecular clockworks that arose during evolution stochastically and heterogeneously. Over the years, several high-throughput experiments were performed to evaluate time-dependent gene expression in different cell types across several species and experimental conditions. Here, these were retrieved, manually curated, and analyzed by two software packages, BioCycle and MetaCycle, to infer circadian or ultradian transcripts across different species. These transcripts were stored in RhythmicDB and made publically available.

Keywords: circadian regulation; clock genes; gene expression; periodicity; time-course data.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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