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Gene Expression Analysis

Life Sciences Bioinformatics R Shared components Interactive views

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In this workflow, we analyze RNA-Seq data from tumors and matched normal tissue from three patients with oral squamous cell carcinomas (https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0009317). Differentially expressed genes are discovered using the R package edgeR and are then displayed in an interactive view. Subsequently, genes are hierarchically clustered based on their expression pattern, and the results are shown via a dendrogram alongside a heatmap. We then perform a pathway enrichment analysis and look for compounds targeting the gene product of interest.
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