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Complex Data Analysis with FlowJo Labs at UCSF
September 23, 2014 @ 9:00 AM - September 24, 2014 @ 5:00 PM
At the end of this two day course, students will have a better understanding of the principles of data analysis. This knowledge will include principles on obtaining good data, the use of controls for data analysis, statistical analysis of flow cytometric data as well as advanced topics including proliferation, cluster analysis and the use of SPICE, a separate (and free) analysis package for analyzing complex datasets.
Researchers using flow cytometry in their work and at least 6 months of experience in cytometry. Basic knowledge of flow cytometry and Flowjo are expected.
Course Outline/Schedule – Day 1
09:00‐09:30 Instructor introductions and course outline
09:30‐10:30 Generating good data (Lecture 1)
10:30‐10:45 Coffee Break
10:45‐11:45 Introduction to FlowJo (Lab 1: Dataset – 1 color titration)
11:45‐12:00 Q/A from morning
12:00‐13:00 Lunch break
13:00‐14:00 Principles of Compensation (Lecture 2)
14:00‐15:00 Compensation in FlowJo (Lab 2: Dataset ‐ 5 color panel)
15:15‐16:00 Principles of Data Analysis (Lecture 3)
16:00‐17:00 Practical Data Analysis (Lab 3: Dataset – 5 color panel)
Course Outline/Schedule – Day 2
09:00‐10:15 Statistical Analysis of Flow data (Lecture 3)
10:15‐10:30 Coffee Break
10:30‐12:00 Advanced Data analysis (Lab 4: Dataset – 10 color stimulation)
12:00‐13:00 Lunch break
13:00‐14:00 Advanced Data Analysis – Data Modeling and SPICE (Lecture 4)
14:00‐15:00 Modeling lab 1 (Lab 5: Dataset – Cell Cycle and Proliferation)
15:15‐16:00 Modeling lab 2 (Lab 6: Dataset – SPICE Dataset)
16:00‐16:45 Presenting good data (Lecture 5)
16:45‐17:00 Q/A and wrap‐up
My other passions include grilling, wine tasting, and real food. To be honest, my biggest passion is flow cytometry, which is something that Carol and I share. My personal mission is to make flow cytometry education accessible, relevant, and fun. I’ve had a long history in the field starting all the way back in graduate school.
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