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VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
BEGIN:VEVENT
DTSTAMP:20260605T020846Z
UID:e4d996d3-d8bc-41b8-aaa6-63b1948230e9
DTSTART:20260928T090000Z
DTEND:20260930T170000Z
DESCRIPTION:<html><ul><li>This event was exported from <a href="https://exp
 lora.alliancecan.ca/" target="_blank" rel="noopener"><strong>Explora</stro
 ng></a></li><li>The content provider for this event is: <a href="https://e
 xplora.alliancecan.ca/content_providers/canadian-bioinformatics-workshops"
  target="_blank" rel="noopener">Canadian Bioinformatics Workshops</a></li>
 <li><strong>Registration may be required for the event</strong>\, please v
 isit the following URL to learn more: <a href="https://bioinformatics.ca/w
 orkshops-all/2026-foundational-spatial-omics-analysis-toronto-on/" target=
 "_blank" rel="noopener">https://bioinformatics.ca/workshops-all/2026-found
 ational-spatial-omics-analysis-toronto-on/</a></li></ul><hr><p>This founda
 tional\, technology agnostic workshop will focus on the design\, execution
 \, and downstream analysis of spatial transcriptomics experiments\, with t
 he goal of helping participants transform raw spatial datasets into biolog
 ically meaningful insights. The program is designed to provide a foundatio
 nal understanding of both spot-based and single-molecule spatial transcrip
 tomics technologies\, while also equipping participants with practical gui
 dance on experimental planning\, tissue preparation\, platform selection\,
  and computational analysis. This workshop will not be limited to a single
  technology or vendor. Instead\, it will expose participants to the broade
 r landscape of spatial transcriptomics methods by integrating concepts and
  datasets from both spot-based and single-molecule platforms. Example data
 sets and case studies may include technologies such as Visium HD\, Slide-s
 eq\, Stereo-seq\, Xenium\, CosMx\, and other emerging spatial platforms. I
 n doing so\, the workshop will help participants understand both the commo
 n analytical foundations across platforms and the important differences th
 at affect experimental design\, preprocessing\, segmentation\, integration
 \, and interpretation. The workshop will then guide participants through t
 he fundamental computational steps required to process raw spatial dataset
 s and conclude with analytical approaches for biological querying\, interp
 retation\, and hypothesis generation. The workshop will place particular e
 mphasis on comparative understanding across technologies\, including diffe
 rences in spatial resolution\, sensitivity\, image dependence\, cell segme
 ntation requirements\, and computational burden. This workshop will be off
 ered in person and virtually. Virtual participants will be supported by de
 dicated virtual teaching assistants\, although the learning experience may
  not fully replicate the benefits of in-person participation. Priority for
  in-person participants will be given to researchers located in Canada who
 se work aligns closely with the thematic and training goals of the program
 .</p></html>
SUMMARY:(2026) Foundational Spatial &#8216\;Omics Analysis: Toronto\, ON
URL;VALUE=URI:https://bioinformatics.ca/workshops-all/2026-foundational-spa
 tial-omics-analysis-toronto-on/
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