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

G Wu, RC Anafi, ME Hughes, K Kornacker… - …, 2016 - academic.oup.com
Bioinformatics, 2016academic.oup.com
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 …
Abstract
Summary: 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.
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.com
Supplementary information:  Supplementary data are available at Bioinformatics online.
Oxford University Press