Integration, exploration, and analysis of high-dimensional single cell cytometry data using Spectre
Channel: Mikhael Manurung
Date: 2021-03-11

Full title: Integration, exploration, and analysis of high-dimensional single-cell cytometry data using Spectre - applications in viral encephalitis and COVID-19

Overview:
Spectre is an R package and computational toolkit that enables comprehensive end-to-end integration, exploration, and analysis of high-dimensional cytometry data from different batches or experiments. Spectre streamlines the analytical stages of raw data pre-processing, batch alignment, data integration, clustering, dimensionality reduction, visualisation and population labelling, as well as quantitative and statistical analysis; with a simple, clear, and modular design of analysis workflows, that can be utilised by data and laboratory scientists.

SPEAKER PROFILE
---------------------------------------------------
Speaker: Dr. Thomas Ashhurst
Affiliation: Sydney Cytometry Facility, The University of Sydney
Dr. Thomas Ashhurst is an immunologist and high-dimensional cytometry specialist with the Sydney Cytometry Core Research Facility at The University of Sydney. In this role he provides advanced training and consultation for users of high-dimensional cytometry platforms, and leads a research effort to develop and apply a range of single-cell cytometry/imaging technologies and assays, as well as computational analysis tools, to map dynamic immune responses over time, space, and disease. In particular, he applies these approaches collaboratively to the study of immunology and infectious disease, including emerging pathogens such as SARS-CoV-2/COVID-19, Zika virus encephalitis, and West Nile virus encephalitis.

More about Dr. Thomas Ashhurst: https://tomashhurst.github.io/
More about Spectre: https://wiki.centenary.org.au/display/SPECTRE

Event date: Thursday, 11 March 2021 (online)
Hosted by the Department of Parasitology, Leiden University Medical Center