By registering for this webinar series, you will learn about and explore the future of multi-omics. It focusses on the rapidly advancing field of single-cell analysis, the challenges and methods of data integration, and the potential applications of multi-omics yet to hit the clinic. You will hear case studies and discover how to best leverage multi-omics analysis to its full potential.
Register by clicking here.
**Please note, by registering for the first webinar in the series you will automatically gain access to all subsequent webinars in the series**
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Webinar 1: Multi-Omics: Down to Single Cell Resolution
Thursday 1st June at 3pm BST/4pm CET/10am EDT
This webinar will delve into single-cell multi-omics methods, and how these provide a granular view of complex systems. It will include case studies that highlight the recent discoveries, and how these insights could be leveraged in the future.
- Talk 1: Spatial transcriptomics technologies for biomedical research
- Van Vuong Dinh, Research Scientist, Single Cell Open Lab, German Cancer Research Center
- Talk 2: Single-cell Multi-omic Profiling of Endoderm Cells During Zebrafish Gastrulation Reveals Early Spatial Genetic Prepatterning
- John Thompson, Postdoctoral Scholar, University of California Merced
- Talk 3: Single-cell Multi-omic Velocity reveals Dynamic and Decoupled Gene Regulation
- Joshua Welch, Assistant Professor of Computational Medicine and Bioinformatics, University of Michigan
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Webinar 2: Multi-Omics Data integration
Thursday 8th June at 3pm BST/4pm CET/10am EDT
This webinar aims to outline the challenges and methods for integrating the vast amounts of multi-omics data available. It will highlight the power of AI and machine learning in the analysis of this data, and how you can leverage these techniques to further your research.
- Talk 1: Multi-Omics Data Integration to Better Understand Disease and Connection between Genotype and Phenotype
- Efi Athieniti, PhD candidate, George Spyrou’s lab, The Cyprus Institute of Neurology & Genetics
- Talk 2: Tips for Easy Handling of Large Multiplexing Data Sets
- Ilary Allodi, Lecturer in Systems Neuroscience, University of St. Andrews
- Talk 3: Deep learning Models for Multi-omics Data Integration
- Abedalrhman Alkhateeb, Assistant Professor, Princess Sumaya University of Technology
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Thursday 15th June at 3pm BST/4pm CET/10am EDT
The goal of a better understanding of disease must be that it translates into actionable insights in a healthcare setting. With a wealth of data available to leverage, tiresome data analysis techniques, and costly equipment, this webinar will assess the potential of multi-omics in the clinic and what’s required for greater adoption.
- Talk 1: Transforming Healthcare with Deep Data and Wearables
- Michael Snyder, Chair of Genetics, Stanford School of Medicine
- Talk 2: Polygenic Risk Scores and Multi-Omics Use in the Clinic
- Judy Cho, Professor, Icahn School of Medicine
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