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Multi-Omics Analysis ONLINE: Webinar 1 - Multi-omics Down to Single Cell Resolution

About this event

Multi-Omics Analysis ONLINE

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.

Webinar 1: Multi-omics: Down to Single Cell Resolution

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


Webinar 2: Multi-omics Data integration  

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


Webinar 3: The Future of Multi-omics – Moving into the Clinic

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

  • Guest speaker
    VD G
    Van Vuong Dinh German Cancer Research Center @ Research Scientist

  • Team member
    CH T
    Celine Hashwe Front Line Genomics

  • Guest speaker
    JW G
    Joshua Welch Assistant Professor @ University of Michigan

  • Guest speaker
    JT G
    John Thompson University of California Merced @ Postdoctoral Scholar

Front Line Genomics

Delivering the Benefits of Genomics to Patients Faster

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.