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

Author:
Wu, Gang, Anafi, Ron C., Hughes, Michael E., Kornacker, Karl, Hogenesch, John B.
Source:
Bioinformatics 2016 v.32 no.21 pp. 3351-3353
ISSN:
1460-2059
Subject:
algorithms, bioinformatics, computer software, data collection, periodicity, time series analysis
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.
Agid:
6247491