Students will learn how to use the point-and-click interface in Partek Flow to go from raw data to experimental results for RNA-Seq analysis. For example: import data from .fastq files; perform QA/QC (Pre-alignment QA/QC, Post-alignment QA/QC); trim bases; align reads to reference genome; quantify gene/transcript abundance; normalize gene counts; detect differentially expressed genes; filter a gene list; identify enriched KEGG pathway and/or GO terms; visualization (heat maps; volcano plots; PCA scatterplot; dot plots; hierarchical clustering; chromosome view; and more). Benefits: Acquire working knowledge of tools available to NIH researchers for the start to finish RNA-Seq data analysis.
Hands-On RNA-Seq Data Analysis in Partek Flow
No Sessions Scheduled