Visualize Gene Expression Data in R Using Ggplot2 - Bioinformatics for Beginners

Learn to visualize gene expression data from NCBI GEO using R and ggplot2 in this hands-on bioinformatics tutorial. Master the creation of essential visualizations including barplots, density plots, boxplots, scatterplots, and heatmaps for RNA-Seq data analysis. Follow along with provided code and data to generate and customize each plot type, understanding the basic ggplot2 format and specific geom functions. Explore data visualization techniques step-by-step, from basic plot creation to saving your finalized graphics. Ideal for beginners in bioinformatics and R programming looking to enhance their data visualization skills for genomics research.

Intro
Basic format for ggplot2
Barplot: geom_col
Density plot: geom_density
Boxplot: geom_boxplot
Scatter plot: geom_point
Heatmap: geom_tile
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