: Single Cell Analysis

Single Cell Analysis

23 - 25 October 2024 | London, UK
12th Annual
Single Cell & Spatial Analysis Congress23 - 25 October 2024 | London, UK

Organisations at the forefront of this filed will present case studies on spatial omics, spatial bioinformatics, emerging tools in single cell analysis and advances in the use of single cell analysis in drug discovery & development 

This Year's Event Includes...

Over 700 attendees representing internationally renowned academic institutions, research institutes and hospitals as well as global pharmaceutical organisations and leading biotech companies

Over 100 case studies, presentations, panel discussions focused on the key issues in spatial omics, bioinformatics and advances in single cell analysis tools and the utilisation of single cell analysis in drug discovery & development  

Maximise your event experience with exclusive interactive programme features such as workshops, panel discussions and roundtables, tapping into the priorities & challenges of the wider single cell & spatial analysis market

Agenda at a Glance

Day One

  • Utilizing, combining and integrating spatial technologies in omics:
       »
    Spatial genomics​, transcriptomics, proteomics, epigenomics, lipidomics, metabolomics  
  • Combining single & spatial techniques​ 
  • Digital pathology​ 
  • Platform comparisons and end-user perspectives​ 
  • Use of spatial tech in the human cell atlas initiative 
  • Novel technologies for single cell imaging​ 
  • Benchmarking single cell technologies 
  • Computational tools for single cell analysis​ 
  • Proteomics and computational approaches​ 
  • Updates from single cell multi-omics​ 

Day Two

  • Case studies from various therapeutic areas​ 
  • Spatial data analysis & integration​ 
  • Spatial multi-omics analyses​ 
  • Machine learning approaches in spatial bioinformatics 
  • Multiplexed spatial phenotyping 
  • Spatial single cell patterns​ 
  • Scalable single cell analysis pipelines​ 
  • Dissecting population dynamics using single cell analyses 
  • Single cell analytic tools for drug discovery & development​ 
  • Immuno-informatics 
  • Leveraging single cell analysis & long read sequencing