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Visualizing Spatial Single-Cell Data with Vitessce

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  • UserProf Nils Gehlenborg from Harvard Medical School
  • ClockMonday 08 February 2021, 15:00-16:15
  • HouseZOOM (live).

If you have a question about this talk, please contact Anna Toporska .

Please email anna.toporska@cruk.cam.ac.uk by Friday 5th February to receive a ZOOM registration link

Vitessce (Visual Integration Tool for Exploration of Spatial Single-Cell Experiments) (http://vitessce.io/) is an open-source, web-based 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 datasets and new challenges for visualization. Specifically, these datasets describe relationships both in 2D/3D physical space as well as in high-dimensional spaces, e.g., gene expression. Many of the current visualization tools in this space require specialized server-side software or local storage of large datasets. Vitessce leverages recent advances in web-based technologies, 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 large datasets via just a URL .

This talk is part of the Seminars on Quantitative Biology @ CRUK Cambridge Institute series.

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