MetaCycle: an integrated R package to evaluate periodicity in large scale data

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, JTKCYCLE 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. AVAILABILITY AND IMPLEMENTATION: 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). CONTACT: hogenesch@gmail. comSupplementary information: Supplementary data are available at Bioinformatics online.