Extensible framework for interacting with multiple genome browsers (currently UCSC built-in) and manipulating annotation tracks in various formats (currently GFF, BED, bedGraph, BED15, WIG, BigWig and 2bit built-in). The user may export/imp
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Use bioconductor-rtracklayer to import [BED/GFF/WIG track files] into GRanges for [genome build], validate coordinate handling, and export the requested browser-compatible track format.
Required inputs
[BED/GFF/WIG track files]
[genome build]
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SKILL.md
name: bioconductor-rtracklayerdescription: Extensible framework for interacting with multiple genome browsers (currently UCSC built-in) and manipulating annotation tracks in various formats (currently GFF, BED, bedGraph, BED15, WIG, BigWig and 2bit built-in). The user may export/impwhen_to_use: "Use when: Genomic Track Import/Export: Importing and exporting genomic annotation tracks (e.g., BED, GFF, WIG) into R as GRanges objects using import and export.; UCSC Genome Browser Interaction: Interacting programmatically with the UCSC genome browser via browserSession.; Custom Track Uploads: Uploading custom annotation tracks to a genome browser using the track<- function.; UCSC Table Queries: Querying . Not for: For core manipulation of genomic intervals without file I/O, use GenomicRanges instead.; For parsing raw sequencing alignments, use GenomicAlignments or Rsamtools instead, as rtracklayer is designed for annotation tracks."user-invocable: false
rtracklayer
Dependencies & Environment
Package-intrinsic requirements from the Bioconductor landing page — reproduce in any R environment.
Genomic Track Import/Export: Importing and exporting genomic annotation tracks (e.g., BED, GFF, WIG) into R as GRanges objects using import and export.
UCSC Genome Browser Interaction: Interacting programmatically with the UCSC genome browser via browserSession.
Custom Track Uploads: Uploading custom annotation tracks to a genome browser using the track<- function.
UCSC Table Queries: Querying and downloading built-in UCSC tracks (like RepeatMasker) using ucscTableQuery and getTable.
When NOT to Use
For core manipulation of genomic intervals without file I/O, use GenomicRanges instead.
For parsing raw sequencing alignments, use GenomicAlignments or Rsamtools instead, as rtracklayer is designed for annotation tracks.
Data Requirements
Input Formats: BED, GFF (v1/2/3), WIG, and other browser-supported formats.
R Representation: Genomic coordinates must be 1-based when represented as GRanges in R.
format: Explicitly specifies the file format (e.g., "bed", "gff1") for import or export.
name: Character vector identifying the track within a browserSession.
range: A GRanges object specifying the genomic segment to view or download.
pack: Instructs the browser to use the "pack" mode for viewing a track.
track: Specifies the name of the track to query in ucscTableQuery.
table: Specifies the specific table within a track to retrieve via ucscTableQuery.
Best Practices
Use GRangesForUCSCGenome to formally associate interval data with a UCSC genome build and validate bounds before uploading.
Subset large GRanges tracks before uploading or viewing (e.g., targetTrack[1:10]) to avoid overwhelming the browser session.
Rely on the default "auto" format detection in export and import which derives the format from the file extension.
Common Pitfalls
Coordinate System Confusion: R and GRanges use 1-based coordinates, while formats like BED use 0-based. Fix: rtracklayer handles this automatically during import/export, so avoid manual coordinate shifting.
Opening too many browser tabs: Changing the view state in UCSC opens a new page in the web browser. Fix: Consolidate view adjustments or use browseGenome to load tracks and set the view in a single call.
Alternatives
GenomicRanges: For in-memory manipulation of genomic intervals without external browser interaction.
BSgenome: For retrieving and manipulating full genome sequences rather than annotation tracks.
Citations
Lawrence M, et al. (2009) "Software for Computing and Annotating Genomic Ranges." PLoS Computational Biology.
Lawrence M, et al. (2007) "rtracklayer: an R package for interfacing with genome browsers." Bioinformatics.
This skill is the knowledge layer — when, why, and how to use rtracklayer. To run this analysis on your own data with managed compute, automated QC, and reproducible outputs, use BioMate — free to start.