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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Webinar 3: The Future of Multi-Omics – Moving into the Clinic
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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Register here:
Speakers
Van Vuong Dinh, Research Scientist, Single Cell Open Lab, German Cancer Research Center
John Thompson, Postdoctoral Scholar, University of California Merced
Joshua Welch, Assistant Professor of Computational Medicine and Bioinformatics, University of Michigan
Efi Athieniti, PhD candidate, George Spyrou’s lab, The Cyprus Institute of Neurology & Genetics
Ilary Allodi, Lecturer in Systems Neuroscience, University of St. Andrews
Abedalrhman Alkhateeb, Assistant Professor, Princess Sumaya University of Technology
Michael Snyder, Chair of Genetics, Stanford School of Medicine
Judy Cho, Professor, Icahn School of Medicine
