how to graph coordinates below a plot

I'm trying to make a single gene coverage plot like the one shown here.

I have already plotted the coverage but I still need to insert the exons and introns in the corresponding coordinates. Thank you! My code:

ggplot(z, aes(x=inicio, y=promedio, fill=Technology, group=Technology, color=Technology))  
stat_smooth(
    geom = 'area', method = 'loess', span = 1/3,
    alpha = 1/2)   
scale_x_continuous(limits=c(30689060,30748122))  
theme_set(theme_bw())  
theme(legend.text = element_text (size = 12))  
xlab("Coordinates") 
ylab("Depth") 
ggtitle("TEX15")

CodePudding user response：

Without a minimal reproducible example (MRE) containing some input data and expected output it's difficult to know how to help you. For instance, here is an MRE with some 'fake' data:

library(tidyverse)

df <- data.frame(Coverage = runif(1000, 0, 7900))

p1 <- df %>%
  ggplot(aes(x = Coverage))  
  geom_density(outline.type = "full", fill = "#D6B7C9")  
  theme_minimal(base_size = 14)  
  theme(axis.title.x = element_blank())

features1 <- tribble(~"feature", ~"start", ~"end",
                     "E1", 1, 1950,
                     "E5", 2986, 3237,
                     "L1", 4775, 6292)

features2 <- tribble(~"feature", ~"start", ~"end",
                     "E2", 1892, 2989,
                     "L2", 3373, 4794,
                     "E6", 7125, 7601,
                     "E7", 7604, 7900)

p2 <- features1 %>%
  ggplot()  
  geom_rect(aes(xmin = start, xmax = end, 
                   ymin = 0, ymax = 1,
                   fill = feature),
            color = "black")  
  geom_text(aes(x = (start   end) / 2, y = 0.5, label = feature))  
  theme_void()  
  theme(legend.position = "none")

p3 <- features2 %>%
  ggplot()  
  geom_rect(aes(xmin = start, xmax = end, 
                ymin = 0, ymax = 1,
                fill = feature),
            color = "black")  
  geom_text(aes(x = (start   end) / 2, y = 0.5, label = feature))  
  theme_void()  
  theme(legend.position = "none")

library(patchwork)
p1 / p2 / p3   plot_layout(nrow = 3, heights = c(1, 0.1, 0.1))

^{Created on 2022-06-16 by the reprex package (v2.0.1)}

Would this approach be suitable for your single gene coverage plot? If not, what would you want to change?