July 22: Analysis of RNA Expression – RNA-seq workshop.
In this session, we go more in-depth with our RNA-seq analysis. We will talk about differential gene expression algorithms like DESEQ and EDGER, and try to understand p-values and False Discovery Rates. We will also learn to use standard methods for data visualization and use them to transition to data mining. We will also address some of the typical challenges with RNA-seq data and explore how we can evaluate the data quality to find comparable samples and eliminate artifacts before starting the analysis. By this session, everyone should have completed the training portion of the program and start working on independent projects.
