Multi-omics is rapidly becoming one of the most influential methods in the life sciences, poised to become the cornerstone technique of future research.
In these early stages of progress, clear and informative dialogue between experts in the field is vital. No one has the time to read all the papers and preprints necessary to truly ‘stay ahead’. Therefore, a tailored webinar series such as this is the perfect opportunity to learn on the go.
So, please join us for our next Multi-Omics ONLINE webinar series. This webinar series is a 3-part exploration of some of the most promising developments in multi-omics happening right now.
Specifically, this Multi-Omics Online webinar series will provide you with:
- Talks and Q&A sessions from 10 international speakers from across Australia, Europe, the UK and the USA
- Spotlights on tools for multi-omics integration and single-cell and spatial analysis, directly from the tool developers
- Case-studies and use cases for multi-omics in informing therapeutic design, understanding disease mechanisms and predicting health outcomes
This series will be held on 7th, 14th and 21st May 2024 at 3pm BST / 4pm CEST / 10am EDT
**Please note that by registering for one webinar in the series, you will automatically be registered to all subsequent webinars**
Webinar 1: Multi-Omics Applications in Human Health and Disease
Tuesday 7th May 2024 at 3pm BST / 4pm CEST / 10am EDT
Our three-part series begins by covering various applications of multi-omics in health and disease. First, we will explore the value of integrating multi-omics when designing therapeutics and monitoring drug responses. Second, we will hear about the added power of using the genetic and epigenetic 6-base genome in disease research. Following this, our third talk details the use of multi-omics in studying cellular communication, which can reveal insights into inflammatory and infectious diseases. The webinar will conclude with a talk that covers profiling RNA-splicing and the challenges of combining long-read sequencing approaches in a single-cell multi-omics setting.
Talk 1. Unravelling Disease Mechanisms: Multi-omics Integration in Therapeutic Design
- Raj Sewduth, Research Manager, KU Leuven
Talk 2. Reveal the power of the 6-base genome for transformative insights into current and future states of disease
- Tom Charlesworth, Director, Market Strategy and Corporate Development, biomodal
Talk 3. Creating Biological Interaction Pathways to Understand Cellular Communication
- Márton Ölbei, Research Associate, Imperial College London
Talk 4. Unravelling the Cell-Type-Specific Impact of Splicing Aberrations with GoT-Splice
- Mariela Cortés López, Postdoctoral Associate, New York Genome Center
Webinar 2: The Single-Cell and Spatial Multi-Omics Toolbox
Tuesday 14th May 2024 at 3pm BST / 4pm CEST / 10am EDT
The second webinar in this series focusses on updates to multi-omics single-cell and spatial analysis. Shila Ghazanfar, developer of the popular StabMap method, begins proceedings with a review of the latest class of integration methods: single-cell mosaic data integration. Next, the second talk will dive into Giotto Suite, a major update to the open-source Giotto tools that can process, analyse and visualize spatial multi-omics data at all scales and multiple resolutions. Finally, we will hear about the new two-layer DNA seqFISH+ method for mapping thousands of genomic loci and the nascent transcriptome to create a high-resolution view of subcellular components.
Talk 1: Computational Approaches for Single Cell Mosaic Data Integration
- Shila Ghazanfar, Lecturer, ARC DECRA Fellow, University of Sydney
Talk 2: Giotto Suite – A Suite of Tools for Spatial Multi-Omics Analyses
- Jiaji Chen, PhD Candidate, Dries Lab, Boston University
Talk 3: High-resolution spatial multi-omics reveals cell-type specific nuclear compartments
- Yodai Takei, Post-doctoral Researcher, Caltech
Webinar 3: The Latest Multi-Omics Data Integration Strategies
Tuesday 21st May 2024 at 3pm BST / 4pm CEST / 10am EDT
Integrating the different data modalities creates new challenges for every combination of omics. So, you can never get enough exposure to innovative methods that the community produces to handle specific problems. In this webinar, we conclude with an overview of three new multi-omics integration methods; MixOmics, an R toolkit with over 20 multivariate methodologies, CustOmics, a deep learning-based, oncology-focused method for integrating histology and molecular profiles, and PaCMAP, for integrating multi-omics data to predict health outcomes.
Talk 1: Multi-variate data integration using MixOmics
- Kim-Anh Lê Cao, Professor in Statistical Genomics, The University of Melbourne
Talk 2: Multimodal CustOmics: A Unified and Interpretable Multi- Task Deep Learning Framework for Multimodal Integrative Data Analysis in Oncology
- Hakim Benkirane, PhD student, CentraleSupélec
Talk 3: PaCMAP-Embedded Convolution Neural Network for Multi-Omics Data Integration
- Abed Alkhateeb, Assistant Professor of Computer Science, Lakehead University
