Literature DB >> 31307268

RhythmicAlly: Your R and Shiny-Based Open-Source Ally for the Analysis of Biological Rhythms.

Lakshman Abhilash1, Vasu Sheeba2.   

Abstract

Research on circadian rhythms often requires researchers to estimate period, robustness/power, and phase of the rhythm. These are important to estimate, owing to the fact that they act as readouts of different features of the underlying clock. The commonly used tools, to this end, suffer from being very expensive, having very limited interactivity, being very cumbersome to use, or a combination of these. As a step toward remedying the inaccessibility to users who may not be able to afford them and to ease the analysis of biological time-series data, we have written RhythmicAlly, an open-source program using R and Shiny that has the following advantages: (1) it is free, (2) it allows subjective marking of phases on actograms, (3) it provides high interactivity with graphs, (4) it allows visualization and storing of data for a batch of individuals simultaneously, and (5) it does what other free programs do but with fewer mouse clicks, thereby being more efficient and user-friendly. Moreover, our program can be used for a wide range of ultradian, circadian, and infradian rhythms from a variety of organisms, some examples of which are described here. The first version of RhythmicAlly is available on Github, and we aim to maintain the program with subsequent versions having updated methods of visualizing and analyzing time-series data.

Entities:  

Keywords:  DAM; Drosophila; actogram; circadian; circatidal; period; periodogram; phase marking; power; time series

Year:  2019        PMID: 31307268     DOI: 10.1177/0748730419862474

Source DB:  PubMed          Journal:  J Biol Rhythms        ISSN: 0748-7304            Impact factor:   3.182


  6 in total

1.  CIRCADA: Shiny Apps for Exploration of Experimental and Synthetic Circadian Time Series with an Educational Emphasis.

Authors:  Lisa Cenek; Liubou Klindziuk; Cindy Lopez; Eleanor McCartney; Blanca Martin Burgos; Selma Tir; Mary E Harrington; Tanya L Leise
Journal:  J Biol Rhythms       Date:  2020-01-28       Impact factor: 3.182

2.  RhythmicDB: A Database of Predicted Multi-Frequency Rhythmic Transcripts.

Authors:  Stefano Castellana; Tommaso Biagini; Francesco Petrizzelli; Andrea Cabibbo; Gianluigi Mazzoccoli; Tommaso Mazza
Journal:  Front Genet       Date:  2022-06-14       Impact factor: 4.772

3.  Magnetic Fluctuations Entrain the Circadian Rhythm of Locomotor Activity in Zebrafish: Can Cryptochrome Be Involved?

Authors:  Viacheslav V Krylov; Evgeny I Izvekov; Vera V Pavlova; Natalia A Pankova; Elena A Osipova
Journal:  Biology (Basel)       Date:  2022-04-13

4.  Open-source computational framework for studying Drosophila behavioral phase.

Authors:  Boyan Kostadinov; Hannah Lee Pettibone; Evardra Valerie Bell; Xiaona Zhou; Ausra Pranevicius; Orie Thomas Shafer; Maria Paz Fernandez
Journal:  STAR Protoc       Date:  2021-01-22

5.  Automated analysis of activity, sleep, and rhythmic behaviour in various animal species with the Rtivity software.

Authors:  Rui F O Silva; Brígida R Pinho; Nuno M Monteiro; Miguel M Santos; Jorge M A Oliveira
Journal:  Sci Rep       Date:  2022-03-09       Impact factor: 4.379

6.  Drosophila Populations Reared Under Tropical Semi-natural Conditions Evolve Season-dependent Differences in Timing of Eclosion.

Authors:  Chitrang Dani; Vasu Sheeba
Journal:  Front Physiol       Date:  2022-07-15       Impact factor: 4.755

  6 in total

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