splots
splots visualizes high-throughput genomic and molecular biology data by generating plots that reflect the spatial arrangement of samples on microtitre plates and slides to aid interpretation.
Key Features:
- plotScreen Functionality: The plotScreen function maps dataset values to the physical layout of microtitre plates or slides and renders corresponding visualizations.
- R-based plotting: Implements plotting in the R statistical programming environment to produce high-quality graphical representations.
- Bioconductor integration: Packaged for Bioconductor to enable interoperability with other Bioconductor packages.
- Formal review and testing: Subject to Bioconductor's initial review and continuous automated testing frameworks.
Scientific Applications:
- Genomic Data Analysis: Visualizes gene expression patterns, mutation frequencies, and other genomic measurements across plate or slide layouts.
- Molecular Biology Experiments: Visualizes results from high-throughput assays such as drug screening assays across multiple conditions.
- Standardized visualization: Provides plate- and slide-formatted visualizations to support comparative analysis across experimental modalities.
Methodology:
Provides the plotScreen function implemented in R as a Bioconductor package to map sample coordinates onto microtitre plate and slide layouts and generate plots.
Topics
Collections
Details
- License:
- GPL-3.0
- 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.