FlowRepositoryR
FlowRepositoryR provides programmatic access to flow cytometry datasets and their MIFlowCyt-compliant annotations from the FlowRepository database (flowrepository.org) via the FlowRepository API for computational retrieval and analysis.
Key Features:
- Data Access: Queries the FlowRepository database (flowrepository.org) via the FlowRepository API to locate and retrieve flow cytometry experiments and associated files.
- Dataset Download: Supports downloading datasets and their associated annotations for local computational analysis.
- Comprehensive Annotations: Exposes MIFlowCyt-standard metadata associated with experiments to support reproducible interpretation and analysis.
- Integration with Published Data: Provides access to datasets linked to peer-reviewed manuscripts to enable reanalysis and validation against published results.
Scientific Applications:
- Secondary analysis of flow cytometry data: Retrieval of raw and processed flow cytometry datasets for downstream computational analyses and algorithm development.
- Metadata-driven reproducibility: Use of MIFlowCyt metadata to standardize experimental descriptions and enable reproducible comparisons across studies.
- Data reuse and validation: Reanalysis of published flow cytometry experiments to validate findings or integrate datasets into meta-analyses.
Methodology:
Searches the FlowRepository database and downloads datasets and MIFlowCyt annotations by communicating with the FlowRepository server via the FlowRepository programming interface (API).
Topics
Collections
Details
- License:
- Artistic-2.0
- Tool Type:
- command-line tool, library
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- JavaScript, R, Ruby
- Added:
- 1/17/2017
- Last Updated:
- 11/25/2024
Operations
Publications
Spidlen J, Breuer K, Rosenberg C, Kotecha N, Brinkman RR. FlowRepository: A resource of annotated flow cytometry datasets associated with peer‐reviewed publications. Cytometry Part A. 2012;81A(9):727-731. doi:10.1002/cyto.a.22106. PMID:22887982.
DOI: 10.1002/cyto.a.22106
PMID: 22887982