This function creates a feature track visualization from genomic regions, such as peaks or other genomic annotations. It can read directly from BED files or work with data frames containing genomic coordinates.
Usage
ez_feature(
input,
region,
color = "black",
fill = "gray70",
alpha = 0.7,
height = 0.8,
use_score = FALSE,
...
)Arguments
- input
Either a file path to a BED file or a data frame containing genomic coordinates with columns for chromosome, start, and end positions.
- region
Genomic region to display in the format "chr:start-end". Example: "chr1:1000000-2000000"
- color
Border color of the features. Default: "black"
- fill
Fill color of the features. When
use_score = TRUE, this will be used as the high value in the color gradient. Default: "gray70"- alpha
Transparency level of the features (0 = transparent, 1 = opaque). Default: 0.7
- height
Height of the feature rectangles (0 to 1). Default: 0.8
- use_score
Logical indicating whether to use the 'score' column for fill color. If TRUE, a gradient from white to the specified fill color will be used. Default: FALSE
- ...
Additional arguments passed to
geom_feature()
Details
This function creates a peak track visualization from a BED file or data frame. It is a wrapper around geom_feature that provides a simpler interface.
The function automatically handles both file paths and data frames as input.
When a file path is provided, it reads the BED file and creates the track.
When a data frame is provided, it should contain at least 'chrom', 'start',
and 'end' columns. If 'score' column is present and use_score = TRUE,
features will be colored by their score values.
Examples
# From a data frame with uniform coloring
features <- data.frame(
seqnames = c("chr1", "chr1", "chr1"),
start = c(1000, 3000, 5000),
end = c(2000, 4000, 6000),
name = c("peak1", "peak2", "peak3"),
score = c(10, 30, 50)
)
track <- ez_feature(
features,
"chr1:1-10000",
fill = "darkgreen",
alpha = 0.8
)
#> Warning: Ignoring unknown parameters: `height`
#> Warning: Ignoring unknown aesthetics: ymin and ymax