Wednesday, June 11, 2025, 2-4 p.m., Online
Taught by Srilakshmi Chaparala
Register for Basic ScRNA-Seq Analysis using Partek Flow
This is the 2nd workshop of our four-part workshop series “Mastering Single-Cell Analysis with Partek Flow” that will provide in-depth exploration of single cell technologies and their applications.
Friday, June 13, 2025, noon-1:30 p.m., Online
Taught by Alexis Cenname
Register for Learning Python with AI
This class equips students with the skills to develop, optimize, and troubleshoot Python code using AI-driven platforms.
Wednesday, April 23, 2025, 1-3 p.m.
Online or In Person in the Falk Library Classroom
Taught by Srilakshmi Chaparala
Register for Advanced Spatial Transcriptomic Analysis using Partek Flow
This is the 3rd workshop of our three-part workshop series “Mastering Spatial Transcriptomic Analysis with Partek flow” that will provide in-depth exploration of spatial transcriptomic technologies and their applications.
Introducing the ENACT Enclave Challenge
Tap into a nationwide EHR data resource powered by dozens of universities and research institutions—with access to over 140 million electronic health records—through the ENACT Enclave Challenge.
Have a research project that could benefit from studying this kind of real-world data in a secure, collaborative environment?
Wednesday, April 9, 2025, 1-3 p.m.
Online or In Person in the Falk Library Classroom
Taught by Srilakshmi Chaparala
Register for Introduction to Spatial Transcriptomics technologies and Partek Flow
This is the 1st workshop of our three-part workshop series “Mastering Spatial Transcriptomic Analysis with Partek flow” that will provide in-depth exploration of spatial transcriptomic technologies and their applications.
Wednesday, April 16, 2025, 1-3 p.m.
Online or In Person in the Falk Library Classroom
Taught by Srilakshmi Chaparala
Register for Basic Spatial Transcriptomic Analysis using Partek Flow
This is the 2nd workshop of our three-part workshop series “Mastering Spatial Transcriptomic Analysis with Partek flow” that will provide in-depth exploration of spatial transcriptomic technologies and their applications.