Front Line Genomics invites you to their event
About this event
Nobody can deny that analysing multiple analytes from a sample is the best way to uncover the full biological picture at any moment in time. Whether this is done by sampling and analysing the multi- “omes” at once, or analysing each one in turn and then piecing this back together through data integration, painting this full picture remains an exciting, but challenging field of research.
Join us for our next online series, Multi-Omics ONLINE, where we delve into the ways that researchers are approaching this challenge. In this webinar series, you will find:
Register now to join the virtual series live, with ten expert talks and live Q&As with the speakers, so you can ask personalised questions around your needs in multi-omics.
**Please note that by registering for one webinar in the series, you will automatically be registered to all subsequent webinars**
Tuesday 7th May, 2024 at 3pm BST / 4pm CET/ 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 combinatorial 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
Marton Olbei, Research Associate, Imperial College London
Talk 4. Unravelling the Cell-Type-Specific Impact of Splicing Aberrations with GoT-Splice
Mariela Cortez-Lopes, Postdoctoral Associate, New York Genome Center
Tuesday 14th May, 2024 at 3pm BST / 4pm CET/ 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, Postdoc, Caltech
Tuesday 21st May, 2024 at 3pm BST / 4pm CET/ 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 Le 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 Benikrane, PhD student, Centrale Supelec
Talk 3: PaCMAP-Embedded Convolution Neural Network for Multi-Omics Data Integration
Abed Alkhateeb, Assistant Professor of Computer Science, Lakehead University
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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.
