sevenbridges
sevenbridges provides programmatic API access and an R client for accessing and manipulating genomic data on the Seven Bridges Cancer Genomics Cloud and for integrating Bioconductor packages to support cancer genomics analyses.
Key Features:
- API Integration: Programmatic API interface for accessing and manipulating genomic data stored on the Seven Bridges platform.
- R Client: R client and utilities for issuing API calls and integrating Seven Bridges resources directly within R workflows.
- Interoperability with Bioconductor: Compatibility with Bioconductor and its suite of over 934 packages for bioinformatic and statistical analyses.
- Cancer Genomics Cloud Integration: Integration with the Seven Bridges Cancer Genomics Cloud to access large datasets and computational resources.
- Data management and utilities: Utilities and data management features to support high-throughput genomic and molecular biology research.
Scientific Applications:
- Cancer genomics research: Support for large-scale cancer genomics studies leveraging cloud-hosted datasets and compute.
- Variant calling: Use in workflows for variant calling on large genomic cohorts.
- Gene expression profiling: Support for gene expression profiling analyses within R and Bioconductor ecosystems.
- Pathway analysis: Application to pathway analysis using Bioconductor packages and cloud-accessible data.
- Advanced statistical analysis: Enables application of Bioconductor statistical methods to genomic and molecular datasets.
Methodology:
Programmatic access via an API and an R client with interoperability with Bioconductor; Bioconductor integration relies on community-driven package review processes including formal initial reviews and continuous automated testing.
Topics
Collections
Details
- License:
- Apache-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.