# 安装包
if (!requireNamespace("GOplot", quietly = TRUE)) {
install.packages("GOplot")
}if (!requireNamespace("ggplotify", quietly = TRUE)) {
install.packages("ggplotify")
}
# 加载包
library(GOplot)
library(ggplotify)
GO圈图
GO圈图用于显示圆图结合了基因表达和基因注释富集数据。术语的子集与GOBar图一起显示与基因表达数据的散点图结合使用。整个图都在特定的坐标系上绘制,以实现圆形布局。该段标记为术语ID。
环境配置
系统: Cross-platform (Linux/MacOS/Windows)
编程语言: R
依赖包:
GOplot
;ggplotify
数据准备
加载的数据是具有七个列的GO富集的结果:category, GO id, GO term, gene count, gene name, logFC, adjust pvalue and zscore。
# 加载数据
<- read.delim("files/Hiplot/079-gocircle-data.txt", header = T)
data
# 整理数据格式
colnames(data) <- c("category","ID","term","count","genes","logFC","adj_pval","zscore")
<- data[!is.na(data$adj_pval),]
data $adj_pval <- as.numeric(data$adj_pval)
data$zscore <- as.numeric(data$zscore)
data$count <- as.numeric(data$count)
data
# 查看数据
head(data)
category ID term count genes logFC adj_pval
1 BP GO:0007507 heart development 54 DLC1 -0.9707875 2.17e-06
2 BP GO:0007507 heart development 54 NRP2 -1.5153173 2.17e-06
3 BP GO:0007507 heart development 54 NRP1 -1.1412315 2.17e-06
4 BP GO:0007507 heart development 54 EDN1 1.3813006 2.17e-06
5 BP GO:0007507 heart development 54 PDLIM3 -0.8876939 2.17e-06
6 BP GO:0007507 heart development 54 GJA1 -0.8179480 2.17e-06
zscore
1 -0.8164966
2 -0.8164966
3 -0.8164966
4 -0.8164966
5 -0.8164966
6 -0.8164966
可视化
# GO圈图
<- function () {
p GOCircle(data, title = "GO Enrichment Circleplot",
nsub = 10, rad1 = 2, rad2 = 3, table.legend = T, label.size = 5,
zsc.col = c("#FC8D59","#FFFFBF","#99D594")) +
theme(plot.title = element_text(hjust = 0.5))
}<- as.ggplot(p)
p
p

如示例图所示,外圈显示了分配基因的logFC的每个项的散点图。默认情况下,红色圆圈显示上调和蓝色的下调。