Introduction: New computational methods of analysis allow for comprehensive exploration of high-dimensional cytometry datasets, providing unique insights into cell biology and the immune response to disease. However, the application of these new methods can be inherently challenging. To address these challenges, the Immune Dynamics team and Sydney Cytometry Core Research Facility are pleased to run the High-Dimensional Analysis Homeshow again in 2021, covering key topics such as data preparation, clustering, dimensionality reduction, data visualisation, batch alignment, statistical analysis, validation. The homeshow is suitable for both beginners and those more experienced in high-dimensional analysis, and two workshop streams will be offered to accomodate these levels of experience.
The 2021 roadshow is run with support from the Systems Immunology special interest group (SIG) of the Australia and New Zealand Society for Immunology, the Australasian Cytometry Society, and the Oz Single Cell consortium.
Key details
Dates: Monday 17-July to Wednesday 19-July 2021: daily presentations (1000 - 1130 AEST) and workshops (1400 - 1600 AEST).
Format: Daily presentations (1.5 hrs) and hands-on workshops (2 hrs) on various aspects of high-dimensional analysis,
Location: Online, with recordings to be made available.
Cost:
- Lectures: free
- Workshops (viewing only): free
- Workshops (interactive attendance): $XX per person per workshop ($XX for students) (max 30 places in each days workshop)
Registration: REGISTER HERE
Program
Monday - introduction of high-dimensional cytometry technologies and analysis approaches
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Presentations
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Monday - introduction of high-dimensional cytometry technologies and analysis approaches
Presentations
- 1000 - 1020: Welcome and overview - Overview of high-dimensional cytometry technologies and analysis
- 1020 - 1040: Clustering and visualiation - Applying clustering and dimensionality reduction to cytometry data
- 1040 - 1100: Statistical analysis - Quantitative, differential, and statistical analysis
Workshops
- 1400 - 1600: Stream A (beginners) - Getting started with R and RStudio (30 spots)
- 1400 - 1600: Stream B (advanced) - End-to-end computational analysis workflow using Spectre in R (30 spots)
Tuesday - data analysis with large datasets and multiple batches
Presentations
- 1000 - 1020: Planning your approach - Planning your high-dimensional cytometry project
- 1020 - 1040: Multi-batch experiments - Experiment plans for multiple batches
- 1040 - 1100: Batch alignment methods - Batch alignment methods of HD cytometry data
Workshops
- 1400 - 1600: Stream A (beginners) - Introduction to clustering and dimensionality reduction for cytometry data (30 spots)
- 1400 - 1600: Stream B (advanced) - Batch alignment workflow for cytometry data using Spectre in R (30 spots)
Wednesday - unique and novel analysis applications
Presentations (1000 - 1130)
- 1000 - 1020: Name Name: Time-series analysis of inflammatory responses
- 1020 - 1040: Name Name: Integration data from multiple cytometry technologies
- 1040 - 1100: Name Name: Automated cellular classification using reference datasets
Workshops (1400 - 1600)
- 1400 - 1600: Stream A (beginners) - Bringing it all together - analysing a full experiment (30 spots)
- 1400 - 1600: Stream B (advanced) - Bring your own data (30 spots)