This workshop will focus on Gene Expression Omnibus (GEO) repository. We will learn how to find high throughput gene expression studies - bulk RNA-seq/ scRNA-seq /microarray from GEO, retrieve gene expression count data and generate a list of differentially expressed genes (DEG) between two conditions (disease state vs. normal, drug treatment vs. control, virus infection vs. mock treatment). We will use a variety of bioinformatics tools such as BioJupies, Correlation engine, GEO2R, etc. Additionally, best practices and guidelines on how to submit your own high throughput gene expression data to GEO will also be discussed.
This class listing is for the online version of the workshop, which will be held via Zoom. This workshop will simultaneously be presented in-person at Falk Library; if you would prefer to attend the in-person version of this workshop, please register for GEO Data Mining and Submission - In Person.