Sequencing technologies are continuously improving, making it easier to obtain more in-depth molecular information than ever before. As such, we are seeing an increase in multi-omics analysis, the study of more than one molecular layer in tandem.
However, studying these diverse data sets presents a significant challenge, requiring careful study design and thoughtful analysis for successful data integration, analysis, and interpretation.
Join us for this 3-part webinar series highlighting the current efforts of global researchers who are using this type of analysis to develop our understanding of complex diseases and gain insights into therapeutic opportunities.
By registering for the first webinar in the series, you will automatically be registered for the subsequent webinars.
Webinar 1: Multi-Omics in drug discovery
1st July 2021 at 3pm BST/ 4pm CEST/ 10am EDT
This webinar will present how researchers are integrating diverse omics datasets to find and prioritise drug targets in the hunt for precision therapeutics.
Data-driven disease target prioritization based on data integration into knowledge graphs – Mickael Guedj, Head of Computational Medicine, Servier
Multi-Omics characterization of the microglial response to amyloid plaques in chimeric mice – Alex Tamburino, Associate Principal Scientist, Merck and Rebecca Mathew, Associate Principal Scientist, Merck
Single-cell multiomics provide an unbiased, scalable approach to target identification and drug discovery – Stephen Hague, Senior Science and Technology Advisor, 10x Genomics
Webinar 2: Discoveries using single-cell multi-omics
8th July 2021 at 3pm BST/ 4pm CEST/ 10am EDT
Advances in single-cell technologies have allowed for the unparalleled opportunity to profile DNA, mRNA and proteins at single-cell resolution, enabling cell-type-specific gene regulation to be examined. This webinar will focus on highlighting the enabling technologies fuelling this type of research, and key studies from researchers who are gaining insights using these.
Multi-omics goes from single cells to spatial – Rong Fan, Professor of Biomedical Engineering, Yale
Multi-omics integration: towards a comprehensive view of cancer – Laura Cantini, Researcher, École normale supérieure
Multimodal Solutions for Single Cell Analysis – Hannes Arnold, Senior Science and Technology Advisor, 10x Genomics
Webinar 3: Data analysis, integration and stewardship
15th July 2021 at 3pm BST/ 4pm CEST/ 10am EDT
We are in the era following an explosion of omics data but making integrated use of this data and translating them into useful findings remains the biggest bottleneck to multi-omics analysis.
This webinar will focus on data analysis and integration methods, and projects that are underway to support researchers.
Using networks to capture complex multi-omics associations – John Quackenbush, Professor, Computational Biology, Harvard
Leveraging multi-omics integration to improve the diagnostic power of mitochondrial diseases – Silvia Bottini, Director, Medical Data Laboratory, University of Côte d’Azur
Analyzing spatial and high-resolution single cell multiomic data – Laura DeMare, Product Manager, 10x Genomics
Speakers
Mickael Guedj, Head of Computational Medicine, Servier
Alex Tamburino, Associate Principal Scientist, Merck
Rong Fan, Professor of Biomedical Engineering, Yale University
Laura Cantini, Researcher, École normale supérieure
Hannes Arnold, Senior Science and Technology Advisor, 10x Genomics
John Quackenbush, Professor, Computational Biology, Harvard School of Public Health
Silvia Bottini, Director, Medical Data Laboratory, University of Côte d'Azur
Laura DeMare, Product Manager, 10x Genomics
