A virtual beginners course in High Parameter Flow Cytometry Data Analysis

A preliminary programme is shown below: 

Day 1	Aims
10am to 10.15 am	Lecture Introduction: High Parameter, Definitions, Tools, Data, Pipelines and Outputs Alastair Droop Karen Hogg
11.30am to 11.45am	Break
11.45am to 1pm	Practical part The beginnings – Python and FCS data
1pm to 1.45pm	Lunch break
1.45pm to 2.45pm	Practical – Python – exploring FCS data
2.45pm to 3.30pm	Practical – Python – cleaning FCS data
3pm to 3.15pm	Break
3.15pm to 3.30pm	Lecture FCS Express – Data input, plot and clean
3.30pm to 4.15pm	Practical FCS Express – Data, key words, plot, clean and explore
4.15pm to 5.15pm	Lecture FCS Express: – High parameter data analysis
Day 2	Aims
9am to 9.30am	Lecture High parameter data analysis – Dimensionality Reduction and Clustering Alastair Droop
10am to 11am	Practical – FCS Express Dimensionality Reduction and Clustering
11am to 11.30am	Break
11.30 am to 1.30pm	Practical – High Dimensional data analysis pipeline in Python Practical – High Dimensional data analysis pipeline using FCS  Express with Python
1.30pm to 2.15pm	Lunch break
2.15pm to 3.30pm	Practical - Data analysis in practice – data sets will be provided and you choose how to analyze
3.30pm to 3.45pm	Break
3.45 pm to 4.15pm	Q&A Data analysis in practice – analysis outputs can be shared and discussed
4.15pm to 4.55pm	Practical - Data analysis in practice – data sets will be provided and you choose how to analyze
5pm to 5.15pm	Closing comments

Note: schedule is provisional and subject to change

• Karen Hogg, Technology Facility, Department of Biology, University of York
• Alastair Droop, Technology Facility, Department of Biology, University of York
• Sukhveer Mann, Technology Facility, Department of Biology, University of York
• Andrea Valle, Dotmatics

The course will use the resources and instrumentation of the Technology Facility, which is part of the Department of Biology.

21-22 October 2025

The registration fee covers all tuition, links or digital content will be available after the course has finished. 

The course investment fee is: £190 Academic Rate | £290 Industrial Rate

As the number of places is limited, early registration is advised. To register for the Virtual High Parameter Flow Cytometry Data Analysis, please fill in the registration form Reg_Form_HP_Flow_21-22 Oct 25 Virtual (PDF , 255kb) and email to btf-enquiries@york.ac.uk

The full registration fees are payable in advance and there is a 10% administrative charge for cancellations received in writing up to 10 working days before the start of the course.  No refunds will be made for cancellations received within 10 working days of the course start date or for the inability to attend the course for whatever reasons. The University is not liable for non-attendance due to travel disruptions, health problems or any other reason that might lead to a delegate not being able to attend the course.  You are strongly advised to ensure you have appropriate insurance.  Substitutions may, of course, be made at any time, providing you inform us in writing.