bioRxivBioinformaticsPreprint
CosinorTest: An R Shiny App for Cosinor-model-based circadian and differential analysis in transcriptomic applications
Haocheng DingiD, Yutao ZhangiD, Lingsong MengiD, Chengguo XingiD, Karyn Ann EsseriD, Zhiguang HuoiD
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 implementationCosinorTest is freely available at https://circadiananalysis.shinyapps.io/circadianapp/. Contacthading@augusta.edu Supplementary informationSupplementary files are available at bioR{chi}iv online.
- assay: bulk RNA-seq
- research focus: differential expression
- research focus: gene regulatory network inference
- research focus: benchmarking
- approach: statistical model
- Citations
- 1
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