Tau-independent Phase Analysis: A Novel Method for Accurately Determining Phase Shifts. Academic Article

abstract

• Estimations of period and phase are essential in circadian biology. While many techniques exist for estimating period, comparatively few methods are available for estimating phase. Current approaches to analyzing phase often vary between studies and are sensitive to coincident changes in period and the stage of the circadian cycle at which the stimulus occurs. Here we propose a new technique, tau-independent phase analysis (TIPA), for quantifying phase shifts in multiple types of circadian time-course data. Through comprehensive simulations, we show that TIPA is both more accurate and more precise than the standard actogram approach. TIPA is computationally simple and therefore will enable accurate and reproducible quantification of phase shifts across multiple subfields of chronobiology.

authors

• Jones, Jeffrey

published proceedings

• J Biol Rhythms

altmetric score

• 0.25

author list (cited authors)

• Tackenberg, M. C., Jones, J. R., Page, T. L., & Hughey, J. J.

citation count

• 2

complete list of authors

• Tackenberg, Michael C||Jones, Jeff R||Page, Terry L||Hughey, Jacob J

publication date

• January 2018

publisher

• SAGE Publications  Publisher

published in

• World of Information Business Intelligence Reports. Albania  Journal

keywords

• Circadian Rhythm
• Computer Simulation
• Light
• Method
• Models, Biological
• Period-independent
• Phase Analysis
• Phase Shift
• Tau Proteins
• Tau-independent

PubMed Central ID

• 29635963

Digital Object Identifier (DOI)

• 10.1177/0748730418768116

start page

• 223

end page

• 232

volume

• 33

issue

• 3

URL

• http://dx.doi.org/10.1177/0748730418768116