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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.

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.

SUBMITTER: Wu G

PROVIDER: S-EPMC5079475 | biostudies-literature | 2016 Nov

REPOSITORIES: biostudies-literature

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

Wu Gang G Anafi Ron C RC Hughes Michael E ME Kornacker Karl K Hogenesch John B JB

Bioinformatics (Oxford, England) 20160704 21

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 dataset ...[more]

PMID: 27378304

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