biocViews
biocViews provides a controlled vocabulary and category system for Bioconductor to organize and annotate bioinformatics vocabularies and narratives supporting genomics, molecular biology, and high-throughput data analysis.
Key Features:
- Interoperability: Integrates with the Bioconductor package ecosystem and links to 934 interoperable packages to enable package discovery and classification.
- Community-Driven Development: Maintained through community contributions that update and extend vocabularies and category assignments.
- Formal Review and Testing: Package categorizations undergo formal initial review and continuous automated testing to ensure consistency and robustness.
Scientific Applications:
- Structuring vocabularies and narratives: Standardizes vocabularies and narratives to improve semantic organization of bioinformatics concepts.
- Organizing complex datasets: Supports organization and annotation of complex datasets in genomics and molecular biology for high-throughput data analysis.
- Integration across data types and packages: Facilitates discovery and integration across diverse Bioconductor packages and data types to support interdisciplinary analyses.
Methodology:
Implements categorizations and annotations within the Bioconductor framework using the R programming language, supporting data manipulation, visualization, and analysis, and employs continuous automated testing for validation.
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.