Mobile Menu

Single Cell and Spatial Omics ONLINE – December Webinar Series

When: December 7, 2021 Time: 3:00 pm

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 heavily studied in the search of novel insights into disease onset. Coupled with spatial context in tissue samples, the granularity of this research has reached even finer details.

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.

By registering for the first webinar in the series you will automatically gain access to the subsequent webinars.

Webinar 1: Single-cell meets spatial biology

Tuesday, 7th December, 3pm GMT/ 4pm CET/ 10am EST

For many, 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 explore how this is impacting our understanding of tissue architecture.

Through the eye of the computer – Shirin Elizabeth Khorsandi, Adjunct senior lecturer, King’s College London

Improving clustering in spatial transcriptomics data – Lana Garmire, Associate Professor, Department of Computational Medicine & Bioinformatics, University of Michigan

Webinar 2: Integrated single-cell multi-omics – approaches and analysis

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 and methods of analysis as well as highlight case studies of where insights have been 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

Webinar 3: Novel disease insights fuelled by single-cell omics

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 are affecting 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, Postdoctoral Researcher, St Jude Children’s Research Hospital

Webinar 4: Advanced single cell technologies and optimising the workflow

Thursday, 16th December, 3pm GMT/ 4pm CET/ 10am EST

Single-cell analysis is a time-consuming process. Optimising the wet-lab workflow and harnessing 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

A streamlined whole blood CyTOF workflow defines a circulating immune cell signature of COVID-19 – 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


More on these topics

Single cell / spatial biology

Article Search