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Time distributed data analysis by Cosinor.Online application

View ORCID ProfileLubos Molcan
doi: https://doi.org/10.1101/805960
Lubos Molcan
Department of Animal Physiology and Ethology, Faculty of Natural Sciences, Comenius University, Bratislava, Slovakia
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  • ORCID record for Lubos Molcan
  • For correspondence: lubos.molcan@uniba.sk
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Abstract

Physiological processes oscillate in time. Circadian oscillations, over approximately 24-h, are very important and among the most studied. To evaluate the presence and significance of 24-h oscillations, physiological time distributed data (TDD) are often set to a cosinor model using a wide range of irregularly updated native apps. If users are familiar with MATLAB, R or other programming languages, users can adjust the parameters of the cosinor model setting based on their needs. Nowadays, many software applications are hosted on remote servers running 24/7. Server-based software applications enable quick analysis of big data sets and run on a wide range of terminal devices using standard web browsers. We created a simple web-based cosinor application, Cosinor.Online. The application code is written in PHP. TDD is handled using a MySQL database and can be copied directly from an Excel file to the webform. Analysis results contain information about setting the 24-h oscillation and a unique ID identifier. The identifier allows users to reopen data and results repeatedly over one month or remove their data from the MySQL database. Our web-based application can be used for a quick and simple inspection of 24-h oscillations of various biological and physiological TDD.

Footnotes

  • https://cosinor.online

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted October 18, 2019.
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Time distributed data analysis by Cosinor.Online application
Lubos Molcan
bioRxiv 805960; doi: https://doi.org/10.1101/805960
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Time distributed data analysis by Cosinor.Online application
Lubos Molcan
bioRxiv 805960; doi: https://doi.org/10.1101/805960

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