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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8756186 | PMC |
| http://dx.doi.org/10.1093/bioinformatics/btab517 | DOI Listing |
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DiscoRhythm: an easy-to-use web application and R package for discovering rhythmicity.
Bioinformatics
November 2019
The Krembil Family Epigenetics Laboratory, The Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada, M5T 1R8.
Motivation: Biological rhythmicity is fundamental to almost all organisms on Earth and plays a key role in health and disease. Identification of oscillating signals could lead to novel biological insights, yet its investigation is impeded by the extensive computational and statistical knowledge required to perform such analysis.
Results: To address this issue, we present DiscoRhythm (Discovering Rhythmicity), a user-friendly application for characterizing rhythmicity in temporal biological data.
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