BEGIN:VCALENDAR VERSION:2.0 PRODID:icalendar-ruby CALSCALE:GREGORIAN BEGIN:VEVENT DTSTAMP:20260407T211905Z UID:d5b2c46b-42ff-47c9-b24c-0339f4cf8749 DTSTART:20260928T090000Z DTEND:20260930T170000Z DESCRIPTION:This foundational\, technology agnostic workshop will focus on the design\, execution\, and downstream analysis of spatial transcriptomic s experiments\, with the goal of helping participants transform raw spatia l datasets into biologically meaningful insights. The program is designed to provide a foundational understanding of both spot-based and single-mole cule spatial transcriptomics technologies\, while also equipping participa nts with practical guidance 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 part icipants to the broader landscape of spatial transcriptomics methods by in tegrating concepts and datasets from both spot-based and single-molecule p latforms. Example datasets and case studies may include technologies such as Visium HD\, Slide-seq\, Stereo-seq\, Xenium\, CosMx\, and other emergin g spatial platforms. In doing so\, the workshop will help participants und erstand both the common analytical foundations across platforms and the im portant differences that affect experimental design\, preprocessing\, segm entation\, integration\, and interpretation. The workshop will then guide participants through the fundamental computational steps required to proce ss raw spatial datasets and conclude with analytical approaches for biolog ical querying\, interpretation\, and hypothesis generation. The workshop w ill place particular emphasis on comparative understanding across technolo gies\, including differences in spatial resolution\, sensitivity\, image d ependence\, cell segmentation requirements\, and computational burden. Thi s workshop will be offered in person and virtually. Virtual participants w ill be supported by dedicated virtual teaching assistants\, although the l earning experience may not fully replicate the benefits of in-person parti cipation. Priority for in-person participants will be given to researchers located in Canada whose work aligns closely with the thematic and trainin g goals of the program. SUMMARY:(2026) Foundational Spatial ‘\;Omics Analysis: Toronto\, ON URL;VALUE=URI:https://bioinformatics.ca/workshops-all/2026-foundational-spa tial-omics-analysis-toronto-on/ END:VEVENT END:VCALENDAR