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Course Description

  • Introduce students to FUSION’s functionality for visualizing and analyzing spatial transcriptomics data.  

  • Develop skills in using the "BulkLabels" component for annotating functional tissue units (FTUs) based on predefined molecular or histological criteria.  

  • Enhance familiarity with HuBMAP’s Workspaces feature and its practical applications in bioinformatics research.  

  • Provide hands-on experience in managing data visualization. 

  • Foster interdisciplinary collaboration and scientific communication within research teams.  

Learner Outcomes

  • Hands-On Training: Participants will actively engage with FUSION’s interactive tools and assignments.  

  • Collaborative Research: Work on HuBMAP projects, contributing to the ongoing development of cutting-edge research tools.  

  • Flexible Learning: Asynchronous course materials and modules will support independent and structured learning.  

  • Skill Development: Python scripting, data visualization, and interdisciplinary collaboration.  

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