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Alignment of Synchronized Time-Series Data for Cross-Experiment Comparisons

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Conversion of Time Points to Lifeline Points Using the Python Conversion Functions and the CLOCCS Parameters (Video) | JoVE

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Conversion of Time Points to Lifeline Points Using the Python Conversion Functions and the CLOCCS Parameters

Conversion of Time Points to Lifeline Points Using the Python Conversion Functions and the CLOCCS Parameters (Video) | JoVE

Alignment of Synchronized Time-Series Data for Cross-Experiment Comparisons

DOI:

10.3791/200198-v

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01:29 min

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June 09, 2023

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Sophia A. Campione, Christina M. Kelliher, David A. Orlando, Trung Q. Tran, Steven B. Haase

¹Department of Biology,Duke University, ²Department of Biology,University of Massachusetts, ³Orlando Data Science LLC, ⁴Department of Computer Science,Duke University

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Keywords: – Conversion Of Time Points – Lifeline Points – Python Conversion Functions – CLOCCS Parameters – Conda Environment – Python Notebook – Alignment Functions – Budding Data – Cell Cycle Phase Data – Lifeline Point Timescale – Experimental Data – Lifeline Time Point Scale – Lifeline Aligned Data Set – Percent Budded – Flow Cytometry Data – Cell Cycle Phase

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