epivizrData

epivizrData provides access to Bioconductor object data over WebSocket connections for real-time manipulation and analysis of high-throughput genomic and molecular biology datasets.


Key Features:

  • WebSocket Integration: Serves Bioconductor object data via WebSocket technology to enable real-time data transmission between server and client.
  • Interoperability with Bioconductor Packages: Integrates with the Bioconductor ecosystem of 934 interoperable packages for genomic and statistical workflows.
  • Support for High-Throughput Data Analysis: Supports access to and manipulation of complex high-throughput genomic and molecular biology datasets through Bioconductor object representations.
  • Facilitation of Interdisciplinary Research: Enables integration of diverse bioinformatics tools and methodologies to support collaborative and interdisciplinary analyses.

Scientific Applications:

  • Genomic Data Analysis: Analyzing genomic sequences, gene expression profiles, and other high-throughput genomic datasets.
  • Molecular Biology Studies: Exploring molecular interactions and pathways using comprehensive Bioconductor datasets.
  • Collaborative Research Projects: Supporting real-time data sharing and analysis across research teams.

Methodology:

Data are served as Bioconductor objects over WebSocket connections, and the tool leverages Bioconductor's rigorous initial package review and continuous automated testing practices.

Topics

Collections

Details

License:
MIT
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.

Documentation

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