About this event
Thursdays 1st, 8th and 15th June at 3pm BST/4pm CET/10am ET
In recent years, it has been shown that multi-omics analysis provides the most accurate and representative understanding of complex biological systems yet.
This series will explore how multi-omics will progress. 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 in a clinical setting. Case studies are presented across the series to cover what we know now, and what we need to do next to propel multi-omics into more mainstream applications.
Thursday 1st June at 3pm BST/4pm CET/10am ET
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
Thursday 8th June at 3pm BST/4pm CET/10am ET
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, Professor, Princess Sumaya University of Technology
Thursday 15th June at 3pm BST/4pm CET/10am ET
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
Hosted by
Front Line Genomics is a genomics-focused media company, with a social mission to deliver the benefits of genomics to patients faster. We organise the Festival of Genomics, digital events and webinars. We also produce reports and operate a content-rich website.