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SUMMARY:Visualizing Spatial Single-Cell Data with Vitessce - Prof  Nils Ge
 hlenborg from Harvard Medical School 
DTSTART:20210208T150000Z
DTEND:20210208T161500Z
UID:TALK156763@talks.cam.ac.uk
CONTACT:Anna Toporska
DESCRIPTION:Vitessce (Visual Integration Tool for Exploration of Spatial S
 ingle-Cell Experiments) (http://vitessce.io/) is an open-source\, web-base
 d viewer for spatial single-cell omics and imaging data. With the rise of 
 single-cell methods\, consortia like NIH Human BioMolecular Atlas Program 
 are leading efforts to integrate these technologies\, creating complex dat
 asets and new challenges for visualization. Specifically\, these datasets 
 describe relationships both in 2D/3D physical space as well as in high-dim
 ensional spaces\, e.g.\, gene expression. Many of the current visualizatio
 n tools in this space require specialized server-side software or local st
 orage of large datasets. Vitessce leverages recent advances in web-based t
 echnologies\, including GPU programming and HTTP/2\, to enable computation
  and rendering in the browser. In addition\, Vitessce is designed to work 
 directly with remote cloud storage\, which enables researchers to access l
 arge datasets via just a URL.
LOCATION:ZOOM (live)
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