RNAseq Data Analysis in Qlucore

About this Class

In this introduction session, Dr. Yana Stackpole will discuss biologist-friendly ways to import and analyze RNAseq data in Qlucore, followed by integrated GSEA for biological interpretation.
 
She will pick a public cancer-related dataset from GREIN DB (as a matrix of counts + annotation files), import it into Qlucore, do a visual QC check, statistical analysis, GSEA (using Hallmark gene set collection) with visuals like PCA biplot, heatmap, volcano plot, box plot, violin plot, etc. You will both experience the analysis done in real time and see how you can restore a session saved previously.
 
This introduction is intended for biologists looking to get more hands-on with RNAseq data in the easiest and fastest way, and for more experienced biologists looking for an interactive, fast, and visual way to handle their datasets creating publication-ready images.

Along with this session, you will get access to short video tutorials for easy reproduction of all steps of this workflow!
 
Qlucore access is already available to you via NCI.

For questions contact Daoud Meerzaman or Kayla Strauss.