rtracklayer

rtracklayer provides programmatic access to genome browsers and manipulation of genomic annotations within R to integrate experimental data with genome browser views.


Key Features:

  • Annotation Transfer: Transfer annotation tracks to and from supported genome browsers, currently including UCSC.
  • Browser View Manipulation: Create and manipulate browser views focused on specific genomic regions or sets of annotations.
  • Format Support: Import, export, and manipulate annotation and sequence formats including GFF, BED, bedGraph, BED15, WIG, BigWig, and 2bit.
  • Browser State Control: Query and modify browser state, including adjusting the current viewport.
  • Extensibility in R: Provide an extensible framework within the R programming environment for integrating analysis and browser interactions.

Scientific Applications:

  • Visualization of large-scale genomic data: Display and examine annotation tracks and continuous data across genomic regions for interpretation of experimental results.
  • Integration with R-based analyses: Combine genome browser views with R workflows to link computational analyses and visual representations.
  • Targeted regional studies: Focus analyses on specific genomic regions or annotation subsets for hypothesis-driven investigation.
  • Multi-format data workflows: Exchange and harmonize data across GFF, BED, bedGraph, BED15, WIG, BigWig, and 2bit formats within analysis pipelines.

Methodology:

Leverages the extensibility of the R programming environment to interact with genome browsers and allows querying and modification of browser state, such as adjusting the viewport.

Topics

Collections

Details

License:
Artistic-2.0
Tool Type:
command-line tool, library
Operating Systems:
Linux, Windows, Mac
Programming Languages:
R
Added:
1/17/2017
Last Updated:
12/29/2018

Operations

Data Inputs & Outputs

Publications

Lawrence M, Gentleman R, Carey V. rtracklayer: an R package for interfacing with genome browsers. Bioinformatics. 2009;25(14):1841-1842. doi:10.1093/bioinformatics/btp328. PMID:19468054. PMCID:PMC2705236.

Documentation

Downloads