sbgr
sbgr provides programmatic access to the Seven Bridges Genomics API from R to retrieve and manipulate genomic data for downstream analysis within the Bioconductor ecosystem.
Key Features:
- Integration with Seven Bridges Genomics: Interfaces with the Seven Bridges Genomics API to access platform resources and invoke analyses programmatically.
- R-based environment: Operates within the R programming environment and integrates with Bioconductor packages for statistical analysis and visualization.
- Interoperability: Aligns with the Bioconductor ecosystem to enable interoperability with other Bioconductor packages.
- Community-driven development: Developed and maintained within the Bioconductor community to support collaborative contributions.
- Quality assurance: Subject to Bioconductor's initial review process and continuous automated testing.
Scientific Applications:
- Genomic data access and management: Retrieve, list, and manage genomic datasets and resources hosted on Seven Bridges Genomics for downstream analysis.
- High-throughput genomics analysis: Combine Seven Bridges data access with R/Bioconductor statistical and visualization tools to analyze high-throughput genomics data.
- Translational and clinical research workflows: Integrate Seven Bridges resources into analyses that support research from basic genomic studies to clinical applications.
Methodology:
Implements an R client that integrates with the Bioconductor framework to call the Seven Bridges Genomics API and enable data manipulation and analysis in R.
Topics
Collections
Details
- Cost:
- Free of charge
- Tool Type:
- command-line tool
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- R
- Added:
- 11/8/2015
- 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.