Introduction

Detecting periodicity in large scale data remains a challenge. While efforts have been made to identify best of breed algorithms, relatively little research has gone into integrating these methods in a generalizable method. Here, we present MetaCycle, an R package that incorporates ARSER, JTK_CYCLE and Lomb-Scargle to conveniently evaluate periodicity in time-series data. MetaCycle has two functions, meta2d and meta3d, designed to analyze two-dimensional and three-dimensional time-series datasets, respectively. Meta2d implements N-version programming concepts using a suite of algorithms and integrating their results.MetaCycle package is available on the CRAN repository (https://cran.r-project.org/web/packages/MetaCycle/index.html) and GitHub (https://github.com/gangwug/MetaCycle).hogenesch@gmail.comSupplementary information: Supplementary data are available at Bioinformatics online.

Publications

  1. MetaCycle: an integrated R package to evaluate periodicity in large scale data.
    Cite this
    Wu G, Anafi RC, Hughes ME, Kornacker K, Hogenesch JB, 2016-11-01 - Bioinformatics (Oxford, England)

Credits

  1. Gang Wu
    Developer

  2. Ron C Anafi
    Developer

    Division of Sleep Medicine Center for Sleep and Circadian Neurobiology, University of Pennsylvania School of Medicine, United States of America

  3. Michael E Hughes
    Developer

    Department of Biology, University of Missouri-St. Louis, United States of America

  4. Karl Kornacker
    Developer

    Emeritus Professor of Sensory Biophysics, the Ohio State University, United States of America

  5. John B Hogenesch
    Investigator

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Summary
AccessionBT000670
Tool TypeApplication
Category
PlatformsLinux/Unix
TechnologiesR
User InterfaceTerminal Command Line
Download Count0
Submitted ByJohn B Hogenesch