Online Resource for Single-Cell and Spatial Analysis
Discover the power of single-cell analysis and spatial omics in understanding complex diseases at an unprecedented resolution. In the coming weeks, several webinars are scheduled to delve into these topics, providing insights into the latest computational tools, methods, and research findings.
On Tuesday, 6th February, the first webinar titled "Webinar 1: Marrying Single-Cell and Spatial Biology for a More Complete Understanding of Disease" will take place. Speakers include Frederik De Smet from KU Leuven, Ahmet Coskun from Georgia Institute of Technology & Emory University, and Bernd Bodenmiller from University of Zurich. The webinar will also include a Q&A session with the speakers.
The following week, on Tuesday, 13th February, two webinars are scheduled. The first, "Webinar 2: Advanced Computational Tools to Support Single-Cell and Spatial Data Analysis," will demonstrate some of the latest computational tools for handling the vast quantities of complex data produced by single-cell sequencing and spatial profiling. Ricardo Ramirez-Flores from Heidelberg University will speak in this webinar.
Simultaneously, another webinar titled "Single-Cell and Spatial ONLINE" will take place. This webinar aims to educate participants about a spatially resolved, multi-omics approach to single-cell analysis.
Registration for all webinars is available online.
On Tuesday, 20th February, the third webinar, "Webinar 3: Single-Cell and Spatial Multi-Omics for Intricate Disease Insights," will take place at 3pm GMT / 4pm CET / 10am EST. Speakers in this webinar will discuss how the latest single-cell and spatial multi-omics approaches are helping to unpick genotype-phenotype correlations and disease processes. The webinar will include talks on using single-cell multi-omics to show divergent immune cell selection and immunosuppressive mechanisms between patient groups, disease evolution in Multiple Sclerosis, resolving form, function, time & mechanism at the tumor-immune interface, and benchmarking cell-type clustering methods for spatially resolved transcriptomics data.
Some of the key speakers in this webinar include Rachel Bashford-Rodgers, an Associate Professor at the University of Oxford, Wei Vivian Li, an Assistant Professor at UC California Riverside, and Garry Nolan, the Rachford and Carlota A. Harris Professor in the Department of Microbiology and Immunology at Stanford University School of Medicine.
Mike Day, the District Sales Manager for UK & Nordics at Parse Biosciences, and Gonçalo Castelo-Branco, a Professor at Karolinska Institutet, are also scheduled to speak.
The webinars will provide valuable insights into the latest advancements in single-cell and spatial omics, offering a comprehensive, high-dimensional molecular profile of individual cells within their native tissue context. This approach is crucial for understanding complex cellular interactions, heterogeneity, and disease mechanisms that single-omics or non-spatial methods cannot fully capture.
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- The webinar titled "Webinar 3: Single-Cell and Spatial Multi-Omics for Intricate Disease Insights," on 20th February, will discuss the latest approaches in single-cell and spatial multi-omics, focusing on uncovering genotype-phenotype correlations and disease processes.
- Speakers in the 20th February webinar, like Rachel Bashford-Rodgers from the University of Oxford, Wei Vivian Li from UC California Riverside, and Garry Nolan from Stanford University School of Medicine, will present talks on various topics such as immunosuppressive mechanisms, disease evolution in Multiple Sclerosis, and benchmarking cell-type clustering methods.
- In addition to the research focus, the webinars will also address technological aspects, as Mike Day, the District Sales Manager for UK & Nordics at Parse Biosciences, and Gonçalo Castelo-Branco, a Professor at Karolinska Institutet, will talk about the role of technology in advancing these fields.
- By attending these webinars, attendees can gain in-depth knowledge about the latest advancements in single-cell and spatial omics, which are essential for understanding complex cellular interactions, heterogeneity, and disease mechanisms that single-omics or non-spatial methods cannot fully capture, contributing significantly to health-and-wellness, medical-conditions, and science.