Featured Class: Transcriptome Analysis – From GEO Data Mining to Submission

Join us for this class:
Wednesday, February 21, 2024, 1-4 p.m.
Hybrid session: Attend online or in person in the Falk Library Classroom
Register for Transcriptome Analysis – From GEO Data Mining to Submission*

This beginner-friendly workshop is designed to equip participants with essential skills in locating and analyzing gene expression studies using the Gene Expression Omnibus (GEO) repository. The class will be led by instructors from HSLS’s Molecular Biology Information Service.

Upon completing this class, you should be able to:

  • find studies relevant to your topic in the Gene Expression Omnibus (GEO) repository.
  • use tools such as GEO2R, Correlation Engine, and iDEP for retrieving and analyzing gene expression count data.
  • create and interpret plots like PCA (Principal Component Analysis), heatmaps, volcano plots, and Venn diagrams.
  • submit high-throughput gene expression data to the GEO repository.

This class will be recorded and sent to attendees. Class materials will be shared with attendees.

If you are unable to attend this scheduled class, consider requesting a customized instruction session for your course, group, or department.

*HSLS classes are open to University of Pittsburgh faculty, staff, and students, as well as UPMC residents and fellows.