Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment Comparisons
1.3K Views
•
07:59 min
•
June 9th, 2023
DOI :
June 9th, 2023
•Explore More Videos
Chapters in this video
0:00
Introduction
2:02
Installing CLOCCS and Using it to Parameterize the Experiments
4:31
Conversion of Time Points to Lifeline Points Using the Python Conversion Functions and the CLOCCS Parameters
5:54
Comparing Budding Curves, Flow Cytometry Data, and Experimental Data
Related Videos
12:02
Studying Cell Cycle-regulated Gene Expression by Two Complementary Cell Synchronization Protocols
27.3K Views
11:36
Assembly, Loading, and Alignment of an Analytical Ultracentrifuge Sample Cell
22.6K Views
10:34
Preparation of Quality Inositol Pyrophosphates
13.1K Views
13:38
Monitoring Kinase and Phosphatase Activities Through the Cell Cycle by Ratiometric FRET
14.2K Views
12:19
Analysis of Cell Cycle Position in Mammalian Cells
60.4K Views
08:02
Synchronization of Caulobacter Crescentus for Investigation of the Bacterial Cell Cycle
11.9K Views
08:52
Temporal Tracking of Cell Cycle Progression Using Flow Cytometry without the Need for Synchronization
19.2K Views
08:33
Combining Mitotic Cell Synchronization and High Resolution Confocal Microscopy to Study the Role of Multifunctional Cell Cycle Proteins During Mitosis
14.3K Views
08:50
Analysis of Beta-cell Function Using Single-cell Resolution Calcium Imaging in Zebrafish Islets
14.8K Views
06:22
Ex Vivo Method for Assessing the Mouse Reproductive Tract Spontaneous Motility and a MATLAB-based Uterus Motion Tracking Algorithm for Data Analysis
9.0K Views
Copyright © 2025 MyJoVE Corporation. All rights reserved