Comments (2)
Here's how I would approach this. For starters, you can use geom_feat(). The coordinates can come from a simple dataframe.
library(tidyverse)
library(gggenomes)
genes <- tibble(
seq_id = rep(c("s1", "s2"), each=5), # five genes per sequence
start = c(50, 250, 500, 1000, 1300, 50, 450, 700, 1200, 1500),
end = c(150, 450, 950, 1200, 1800, 350, 650, 1150, 1400, 2000)
)
operons <- tibble(
seq_id = c("s1", "s2"),
start = c(225, 425),
end = c(1225,1425),
name= c("operon X", "operon Y"),
)
gggenomes(genes, feats=operons) +
geom_feat(size=5) +
geom_feat_note(aes(label=name), nudge_y = -.1) +
geom_gene()
Or you can just as well read them from a file
# write example data to file for demonstation
# bed format: seq_id start end strand score name ...
write_tsv(operons, "operons.bed", col_names=FALSE)
# read a coordinate file (such as .bed, .gff, .gbk)
operons.bed <- read_feats("operons.bed")
gggenomes(genes, feats=operons.bed) +
geom_feat(size=5) +
geom_feat_note(aes(label=name), nudge_y = -.1) +
geom_gene()
If you want an actual box, you can use the standart ggplot geoms in gggenomes as well. The only thing in that case is that you need to set x,y and the data track mappings explicitly.
gggenomes(genes, feats=operons) +
geom_rect(
aes(xmin=x, xmax=xend, ymin=y+.1, ymax=y+-.1), # explicitly map aesthetics
data=feats(), # explicitly set track
fill="cornflowerblue", color="black") +
geom_feat_note(aes(label=name), nudge_y = -.12) +
geom_gene()
Let me know if that helps of if you had something different in mind. And in case you struggle to implement this with your own data, ideally upload some example data.
from gggenomes.
Thank you so much for the prompt answer. The first implementation solves my problem. I can easily see the operons now.
from gggenomes.
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from gggenomes.