This workshop is focused on multiomics data analysis - Spatial Transcriptomics. While CITE Seq enables researchers to capture both RNA and surface protein expression simultaneously, the Spatial Transcriptomics method allows researchers to measure mRNA expression in the spatial context of a tissue.
Participants will learn how to
Experimental biologists seeking to analyze scRNA-Seq data generated through experiments or retrieved from a repository such as GEO. The software covered in the workshop operates through a user-friendly, point-and-click graphical user interface, so neither programming experience nor familiarity with the command line interface is required.
Please include the following statement in the acknowledgments section for all publications, posters, and presentations:
[software name, such as CLC Genomics workbench, Partek Flow ] software licensed through the Molecular Biology Information Service of the Health Sciences Library System, University of Pittsburgh (RRID:SCR_011975) was used for data analysis.
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