Journal
BIOINFORMATICS
Volume 32, Issue 21, Pages 3351-3353Publisher
OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btw405
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Funding
- National Institute of Neurological Disorders and Stroke [5R01NS054794-08]
- Defence Advanced Research Projects Agency [DARPA-D12AP00025]
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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.
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