A beginners course in High Parameter Flow Cytometry Data Analysis

There will be ample opportunity during the evening for further discussion with the course tutors in more informal surroundings.

A preliminary programme is shown below: 

Day one	Aims
9.30 am to 10am	Reception at Department of Biology, University of York, UK Coffee/tea will be provided
10am to 10.15am	Lecture Introduction: High Parameter, Definitions, Tools, Data, Pipelines and Outputs Alastair Droop Karen Hogg
11.30 am to 11.45 am	Break - Coffee/tea will be provided
11.45 am to 1pm	Practical part The beginnings – Python and FCS data
1pm to 1.45pm	Lunch – will be provided
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 - Coffee / tea will be provided
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
8.30am	Transport from hotel
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 - Coffee / tea will be provided
11.30am to 1.30pm	Practical – High Dimensional data analysis pipeline in Python Practical – High Dimensional data analysis pipeline using FCS  Express with Python
1.30 pm to 2.15pm	Lunch – will be provided
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 - Coffee / tea will be provided
3.45pm 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.

Accommodation for Tuesday evening is included in the course fees.  Pre and post course accommodation is also available for an additional cost provided sufficient notice is given.  All accommodation will be at the Hotel Indigo in York city centre.

This historic walled city with its medieval guild halls and hostelries offers many attractions for the visitor, including the Jorvik Viking Centre, the National Railway Museum, York Minster, York Castle Museum, Clifford's Tower and the Merchant Adventurers' Hall. York is set in the centre of the Vale of York with the Yorkshire Dales, Moors and Wolds, and stately homes and other attractions are all within easy reach.

Date TBC

The registration fee covers accommodation on Tuesday night, all lunches and Tuesday evening meal, refreshments, tuition, links or digital content will be available after the course has finished. The special course dinner on the Tuesday evening will be in the historic city of York.

The course investment fee is: £650 Academic Rate | £850 Industrial Rate

As the number of places is limited, early registration is advised. To register for the Flow Cytometry Hands-on Course, please fill in the registration form Reg_Form_Flow_21-22 Oct 25 (PDF , 520kb) 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 20 working days before the start of the course.  No refunds will be made for cancellations received within 20 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.