CosinorTest: An R Shiny App for Cosinor-model-based circadian and differential analysis in transcriptomic applications
Year: 2024
Type: preprint
Abstract: Summary: 'CosinorTest' application is an interactive R Shiny tool designed to facilitate circadian and differential circadian analysis with transcriptomic data using Cosinor-model-based methods. This novel application integrates multiple major statistical algorithms to identify circadian rhythmicity in gene expression data and enables the comparison of differential circadian patterns between two experimental conditions. Key features of the 'CosinorTest' app include circadian rhythmicity detection, differential patterns assessment, circadian and differential analyses with repeated measurement, and interactive data visualization, all contributing to a comprehensive understanding of underlying biological mechanisms. As the application doing all comprehensive circadian analysis using the Cosinor model, the 'CosinorTest' app fills a crucial gap in the field of circadian biology and transcriptomics, providing a powerful and user-friendly platform for researchers, especially those without profound programming skills to explore the circadian gene expression regulation, and further advance circadian research. Availability and implementation: CosinorTest is freely available at https://circadiananalysis.shinyapps.io/circadianapp/ . Contact: [email protected]. Supplementary information: online.
Institutions: Augusta University, University of Florida
Language: English
Subfield: Endocrine and Autonomic Systems
Field: Neuroscience
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W4404182813