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Next Generation Sequencing Interest Group: Beyond the DE gene list: understanding your RNA-seq results
RNA-seq has quickly taken over as the preeminent experiment for measuring gene expression in tissue samples. The technique has a wide array of applications from understanding the role of a gene knockout to assessing the impact of a novel drug. While most investigators are focused on the differentially expressed (DE) genes detected in the experiment, there is a wealth of other information that can help you understand your experiment. Dr. Michael Chimenti, Director of the IIHG Bioinformatics Division, will discuss the four types of reports delivered by his group in a typical RNA-seq analysis: sequencing QC, exploratory and outlier analysis, DE gene analysis, and pathway analysis. Taken together, these four reports paint a broader and more informative picture of the experimental results than the DE gene list alone.
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