Visualize gene expression data in R using ggplot2 | Bioinformatics for beginners

Video Description

This is a basic hands-on tutorial to visualize gene expression (RNA-Seq) data from NCBI GEO in #R using the #ggplot2 package. In this video, I have demonstrated how to generate basic visualizations like barplot, density plot, boxplot, scatterplot, and heatmap using gene expression (RNA-Seq) data. Link to code: https://github.com/kpatel427/YouTubeTutorials/blob/main/visualize_ggplot2.R Link to data: https://github.com/kpatel427/YouTubeTutorials/blob/main/files/GSE183947_long_format.txt.zip Chapters: 0:00 Intro 3:01 Basic format for ggplot2 6:51 Barplot: geom_col() 12:26 Density plot: geom_density() 16:17 Boxplot: geom_boxplot() 18:29 Scatter plot: geom_point() 26:24 Heatmap: geom_tile() 32:35 Save plots Show your support and encouragement by buying me a coffee: https://www.buymeacoffee.com/bioinformagic To get in touch: Website: https://bioinformagician.org/ Github: https://github.com/kpatel427 Email: [email protected] #bioinformagician #bioinformatics #ggplot2 #genomics #beginners #hands-on #tutorial #howto #omics #research #biology #ncbi #GEO #rnaseq #ngs #R #dplyr #tidyverse #GEOquery #data #visualization