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DTSTAMP:20260614T174027Z
UID:961739c2-122a-4abb-bf98-6c752799e6de
DTSTART:20240925T090000Z
DTEND:20240925T170000Z
DESCRIPTION:Spatially resolved omics technologies are revolutionising our u
 nderstanding of biological tissues by introducing new ways to characterise
  tissue architectures and identify cell-cell interactions. However\, handl
 ing spatial omics datasets remains challenging due to the large heterogene
 ity of profiling technologies\, resulting in fragmented file formats\, and
  the plethora of arbitrary ways to store analysis results further exacerba
 tes this fragmentation. Additionally\, the data volume often exceeds the m
 emory capacity of standard computing environments. These challenges make i
 t difficult to construct scalable\, interoperable workflows and to share t
 hem reproducibly with the scientific community.\n\nIn this webinar\, we wi
 ll present a software solution—the SpatialData framework—that we devel
 oped in Python to address these data representation challenges. Specifical
 ly\, we will demonstrate how our software infrastructure can be used to:\n
 \n- Represent data from the most commonly available assays in a unified wa
 y\n- Manipulate\, query\, and compute statistics on the data\n- Visualise 
 and annotate the data interactively\n- Prepare the data for sharing to max
 imise interoperability
LOCATION:\, 
SUMMARY:Developing data infrastructures and analytical systems for spatial 
 omics
URL;VALUE=URI:https://www.ebi.ac.uk/training/events/developing-data-infrast
 ructures-and-analytical-systems-spatial-omics
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