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

作者：Gang Wu, Ron C. Anafi, Michael E. Hughes, Karl Kornacker, John B. Hogenesch · 发表于：Bioinformatics · 年份：2016 · DOI：10.1093/bioinformatics/btw405 · 被引用次数：625 · 研究领域：Fractal and DNA sequence analysis、Machine Learning in Bioinformatics、Bioinformatics and Genomic Networks

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.