Visualize gene expression data in R using ggplot2 | Bioinformatics for beginners
Автор: Bioinformagician
Загружено: 27 дек. 2021 г.
Просмотров: 56 869 просмотров
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/YouTubeT...
Link to data: https://github.com/kpatel427/YouTubeT...
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
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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

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