title: MetaCycle: an integrated R package to evaluate periodicity in large scale data.
abstract: 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.
authors.affiliation: Department of Systems Pharmacology and Translational Therapeutics, Institute for Translational Medicine and Therapeutics.
authors.forename: Gang
authors.initials: G
authors.lastname: Wu
authors.affiliation: Division of Sleep Medicine Center for Sleep and Circadian Neurobiology, University of Pennsylvania School of Medicine, Philadelphia, PA 19104, USA.
authors.forename: Ron C
authors.initials: RC
authors.lastname: Anafi
authors.affiliation: Department of Biology, University of Missouri-St. Louis, St. Louis, MO 63121, USA.
authors.forename: Michael E
authors.initials: ME
authors.lastname: Hughes
authors.affiliation: Emeritus Professor of Sensory Biophysics, the Ohio State University, Columbus, OH 43210, USA.
authors.forename: Karl
authors.initials: K
authors.lastname: Kornacker
authors.affiliation: Department of Systems Pharmacology and Translational Therapeutics, Institute for Translational Medicine and Therapeutics.
authors.forename: John B
authors.initials: JB
authors.lastname: Hogenesch
mesh_terms: D000465:Algorithms; D012984:Software; D013223:Statistics as Topic