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Revision as of 14:23, 8 January 2013
JTK_Cycle is a non-parametric algorithm developed in collaboration with Professor Karl Kornacker, Ohio State University, and Professor John Hogenesch, University of Pennsylvania School of Medicine. Its purpose is to identify rhythmic components in large, genome-scale data sets, and estimate their period length, phase, and amplitude.
JTK_Cycle runs in R, a statistical language that can be downloaded here. The scripts necessary to run JTK_Cycle are available as a .zip: Image:JTK Cycle.zip. This compressed file also contains a User's Guide and several example data sets.
When publishing data analyzed by JTK_Cycle, please cite Hughes et al. (2010) Journal of Biological Rhythms. If you use JTK_Cycle to compare the confidence intervals of amplitude measurements, please cite Miyazaki et al. (2011) Plos ONE.
Department of Biology
University of Missouri, St. Louis
(Starting in August, 2013)