Leveraging Data and Computation to Transform Research and Improve Health
Nanocourse: Spatial Transcriptomic Technologies and Data Analysis
Students will learn how to choose the most suitable methods for their research questions, engage with practical applications through case studies and paper discussions, and gain hands-on experience using bioinformatics tools and software for data analysis.
Register by 2/7/25.
Day 1 (2/19)
- Overview of spatial transcriptomics with research examples
- Image-Based spatial transcriptomics data analysis
Day 2 (2/26)
- Key considerations when designing a spatial transcriptomics experiment
- Basics of analyzing NGS based spatial transcriptomics data
Day 3 (3/5)
- Hands on spatial transcriptomics analysis by the participants
CCB Office Hours
Get help with the fundamentals of AI and Machine Learning or R and Statistics by dropping in Wednesdays 1–3pm or scheduling your own time.
Computational Resources
CCB has curated a collection of tools and learning material on computational topics in biomedical science: software packages, online/print textbooks, video series, websites, and databases. The resources cover general introductory material as well as advanced methods in specific areas. There are also links to resources available only to the HMS community.