Skip to content
Back to skills

GenomicRanges

ASecurity

R GenomicRanges package for genomic intervals. Use for representing and manipulating genomic coordinates.

  • 5 stars
  • 0 votes
  • 0 copies
  • 1 view
  • Added June 4, 2026
data

Security analysis

A100/100

Scanned June 4, 2026

npx -y skills add LeoLin990405/r-analytics-skill --skill GenomicRanges --agent claude-code

Installs into .claude/skills of the current project.

Are you the author of GenomicRanges?

Add the live security badge to your README. It updates with every re-scan.

Security grade badge for GenomicRanges
[![Security: A — Skills Directory](https://www.skillsdirectory.com/api/skills/leolin990405-genomicranges/badge)](https://www.skillsdirectory.com/skills/leolin990405-genomicranges)

More formats (shields.io, HTML) on the badges page. Keep it an A: scan every change in CI with Pro.

Download with Pro
SKILL.md
---
name: GenomicRanges
description: R GenomicRanges package for genomic intervals. Use for representing and manipulating genomic coordinates.
---

# GenomicRanges Package

Representation and manipulation of genomic intervals.

## GRanges Object

```r
library(GenomicRanges)

# Create GRanges
gr <- GRanges(
  seqnames = c("chr1", "chr1", "chr2"),
  ranges = IRanges(start = c(100, 200, 150), end = c(150, 250, 200)),
  strand = c("+", "-", "+"),
  score = c(1.5, 2.0, 3.0)
)

# From data frame
gr <- makeGRangesFromDataFrame(df,
  seqnames.field = "chr",
  start.field = "start",
  end.field = "end"
)
```

## Accessors

```r
seqnames(gr)
start(gr)
end(gr)
width(gr)
strand(gr)
ranges(gr)
mcols(gr)  # Metadata columns
gr$score   # Access metadata
```

## Subsetting

```r
gr[1:5]
gr[seqnames(gr) == "chr1"]
gr[strand(gr) == "+"]
gr[gr$score > 2]
```

## Operations

```r
# Shift
shift(gr, 100)

# Resize
resize(gr, width = 500, fix = "start")

# Flank
flank(gr, width = 100, start = TRUE)

# Promoters
promoters(gr, upstream = 2000, downstream = 200)

# Reduce (merge overlapping)
reduce(gr)

# Disjoin
disjoin(gr)
```

## Overlaps

```r
# Find overlaps
hits <- findOverlaps(query, subject)

# Subset by overlap
subsetByOverlaps(gr1, gr2)

# Count overlaps
countOverlaps(gr1, gr2)

# Overlap operations
intersect(gr1, gr2)
union(gr1, gr2)
setdiff(gr1, gr2)
```

## GRangesList

```r
grl <- GRangesList(gene1 = gr1, gene2 = gr2)
grl[[1]]
unlist(grl)
```

## Import/Export

```r
library(rtracklayer)
gr <- import("file.bed")
export(gr, "output.bed")
```

Attribution

Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.

Comments

Loading comments…

Newsletter

Get the weekly list of safe new skills, and the ones we pulled.