RbcBook1
RbcBook1 provides access to Bioconductor R packages and package-quality metadata to support analysis of high-throughput genomic and molecular biology data for the Springer monograph on Bioconductor.
Key Features:
- Integration with Bioconductor: Direct integration with Bioconductor and the statistical programming language R to expose its packages and framework.
- Extensive Package Repository: References Bioconductor's collection of 934 interoperable packages covering a wide array of bioinformatic and statistical applications.
- Quality Assurance: Incorporates Bioconductor's initial package review and continuous automated testing metadata to indicate package reliability.
- Support for Interdisciplinary Research: Provides access to a broad set of bioinformatics tools that enable cross-disciplinary genomic and molecular analyses.
- Community-Driven Development: Reflects contributions from Bioconductor's large and diverse developer community to remain current with bioinformatics research.
Scientific Applications:
- Genomic data analysis: Enables analysis of high-throughput genomic datasets using Bioconductor packages.
- Molecular biology research: Supports processing and interpretation of molecular biology data via Bioconductor tools.
- Statistical modeling of biological processes: Facilitates application of statistical methods from Bioconductor packages to model biological systems.
Methodology:
Built on the Bioconductor framework in the statistical programming language R; exposes the Bioconductor package repository (934 packages) and leverages Bioconductor's initial package review and continuous automated testing metadata.
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
Data Inputs & Outputs
Literature search
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.