Guía_3_de_Estudio_Últimos_Tiempos

In this practical session, we continue working with the GSE161731 blood RNA-seq dataset from Lab 6 to investigate a biological question: which genes are switched on or off in the blood of COVID-19 patients compared with healthy volunteers? We will first use principal component analysis (PCA) to explore similarities and differences between samples and assess whether disease status is a major source of variation in the data. We will then use DESeq2 to identify genes that are differentially expressed between COVID-19 and healthy samples, account for multiple testing across thousands of genes, and visualise the results using a volcano plot, individual gene-expression plots, and a heatmap.

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