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
Genome annotation
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.