ImmuneSpaceR
ImmuneSpaceR provides programmatic access to ImmuneSpace datasets from the Human Immunology Project Consortium (HIPC) for retrieval and analysis of high-throughput genomic and molecular biology data.
Key Features:
- Programmatic API access to ImmuneSpace: Functions to query and retrieve datasets directly from the ImmuneSpace repository.
- Bioconductor interoperability: Integrates with Bioconductor packages and data structures within the R ecosystem.
- R-based client: Implemented as an R package for use in statistical computing and bioinformatics workflows.
- Support for high-throughput genomic and molecular biology data: Enables access to genomic and molecular biology datasets relevant to immunology research.
- HIPC dataset integration: Targets datasets generated and curated by the Human Immunology Project Consortium (HIPC) within ImmuneSpace.
Scientific Applications:
- Genomic Research: Facilitates retrieval of high-throughput genomic data for studies of genetic factors in immune responses and disease.
- Molecular Biology Studies: Enables access to molecular biology datasets for analysis of pathways and molecular interactions in immunology.
- Interdisciplinary Collaboration: Provides shared programmatic access to ImmuneSpace datasets to support collaborative research across disciplines.
Methodology:
Implements an R/Bioconductor client that uses an API to query and retrieve ImmuneSpace datasets within the R environment.
Topics
Collections
Details
- License:
- GPL-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.