In this engaging workshop, you will learn how to analyze differentially expressed genes (DEG) associated with genome-scale experiments, such as RNA-Seq gene expression studies, and gain mechanistic insights using Ingenuity Pathway Analysis and Correlation Engine software.
Upon completion, you will be able to:
- Retrieve a list of DEGs associated with genome-scale experiments (e.g., "treatment vs. control," "tumor vs. normal," or "infected vs. mock") by searching gene expression data repositories (NCBI GEO)
- Gain mechanistic insights by identifying statistically overrepresented terms (biological functions, molecular processes, diseases, etc.) and pathways present in the DEG list
- Predict upstream causal regulators (transcription factors, miRNA, etc.)
- Retrieve datasets from GEO that exhibit similar or opposite gene expression profiles