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

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: [e-mail]
Supplementary information: Supplementary data are available at Bioinformatics online.

Source: Bioinformatics - October 24, 2016 Category: Bioinformatics Authors: Wu, G., Anafi, R. C., Hughes, M. E., Kornacker, K., Hogenesch, J. B. Tags: SYSTEMS BIOLOGY Source Type: research