About this event
Cellular heterogeneity underpins many of life’s processes, from normal development to the onset of disease. Since the advent of single-cell sequencing, cellular heterogeneity has been vastly studied in the search for novel insights into disease onset, coupled with the spatial context in tissue samples, the granularity of research is unparalleled.
In the next series of Single-cell and Spatial Omics ONLINE, we delve into the advances in single-cell and spatial sequencing capabilities, highlight key areas of research and showcase how improvements to the workflow can accelerate discoveries.
Thursday, 16th December, 3pm GMT/ 4pm CET/ 10am EST
Single-cell analysis is a time-consuming process. Optimising the wet-lab workflow and advances in novel computational approaches to analyse the data can bring researchers to novel insights faster.
This session will focus on how researchers are approaching single-cell analysis and gaining insights faster.
Recent advances in high-throughput single-cell and spatial proteomics– Ryan Kelly, Associate Professor, Brigham Young University
Optimizing Large-Scale Single-Cell Cytometry Workflows – Daniel Geanon, PhD Student, Karolinska Institute
Precise single-cell dispensing technology for miniaturized, cost-effective genomics workflows - Christoph Niemöller, Application Scientist Omics, CYTENA GmbH
An end-to-end workflow for multiplexed image processing and analysis – Nils Eling, Postdoctoral researcher, Bodenmiller Laborator, University of Zurich
Tuesday, 7th December, 3pm GMT/ 4pm CET/ 10am EST
The addition of spatial context into single-cell studies has transformed research. This webinar will focus on recent discoveries fuelled by spatial biology and phenotyping, and how this is impacting our understanding of tissue architecture.
Through the eye of the computer - Shirin Elizabeth Khorsandi, Adjunct senior lecturer, Kings College London
Benchmarking computational integration methods on spatial transcriptomics data – Lana Garmire, Associate Professor, Department of Computational Medicine & Bioinformatics, University of Michigan
Thursday, 9th December, 3pm GMT/ 4pm CET/ 10am EST
A lot of attention has been given to single-cell multi-modal analyses. This webinar will focus on advances in single-cell multi-omics, advances in analysis methods, and case studies of insights gained.
Graph neural network applications in single-cell Multi-omics analysis– Anjun Ma, Research Scientist, The Ohio State University
Using sparsely-connected- autoencoders for single-cell multi-omics data analysis – Raffaele Calogero, Professor, University of Torino
Optimising expression quantitative trait locus mapping workflows for single-cell studies – Marc Jan Bonder, Postdoctoral Scientist & Team leader, DKFZ German Cancer Research Center
Tuesday, 14th December, 3pm GMT/4pm CET/ 10am EST
Single-cell omics can dissect cellular heterogeneity at a granular level. This webinar will focus on novel insights gained in various disease areas fuelled by single-cell and spatial omics research. This webinar will highlight approaches, and the impact of how these insights affect our understanding and treatment of diseases.
Dissecting brain cell types through single-cell epigenomes and transcriptomes – Eran Mukamel, Associate Professor of Cognitive Science, University of California, San Diego
Single-cell sequencing: Applications in regenerative medicine – Alessandra Vigilante, Senior Lecturer, King's College London
Dissecting trajectories of clonal hematopoiesis in childhood MDS by single-cell genomics - Sushree Sahoo, PhD, St Jude Children's Research Hospital
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, reports, webinars and digital events, as well as operating a content-rich website.
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