tkWidgets
tkWidgets provides R widget components via tcltk or widgetTools to support manipulation and visualization of high-throughput genomic and molecular biology datasets within the Bioconductor ecosystem.
Key Features:
- R package: Distributed as an R package and integrated into the Bioconductor project.
- tcltk/widgetTools compatibility: Implements components using either tcltk or widgetTools to maintain compatibility across supported backends.
- Data manipulation and visualization: Supplies components for manipulation and visualization of complex genomics and molecular biology datasets and high-throughput data.
- Statistical analysis support: Facilitates workflows that include data visualization, statistical analyses, and result interpretation within R.
- Bioconductor interoperability: Integrates with other Bioconductor packages to leverage the R-based high-throughput data analysis ecosystem.
Scientific Applications:
- Genomics: Visualization and analysis of high-throughput genomic datasets.
- Molecular biology: Manipulation and interpretation of molecular biology datasets from high-throughput experiments.
Methodology:
Implements components via tcltk or widgetTools within R and integrates with Bioconductor packages.
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:
- 11/25/2024
Operations
Publications
Huber W, Carey VJ, Gentleman R, Anders S, Carlson M, Carvalho BS, Bravo HC, Davis S, Gatto L, Girke T, Gottardo R, Hahne F, Hansen KD, Irizarry RA, Lawrence M, Love MI, MacDonald J, Obenchain V, Oleś AK, Pagès H, Reyes A, Shannon P, Smyth GK, Tenenbaum D, Waldron L, Morgan M. Orchestrating high-throughput genomic analysis with Bioconductor. Nature Methods. 2015;12(2):115-121. doi:10.1038/nmeth.3252. PMID:25633503. PMCID:PMC4509590.