BiocGenerics

BiocGenerics provides a standardized set of S4 generic functions to enable interoperability among Bioconductor packages for analysis of high-throughput genomic and molecular biology data.


Key Features:

  • Interoperability: Provides a standardized set of S4 generic functions to enable seamless integration across Bioconductor packages.
  • Foundation for Package Development: Supplies core generic functions that support the development and consistent integration of Bioconductor packages.
  • Support for High-Throughput Data Analysis: Supports computational workflows for large-scale genomic and molecular biology datasets and their associated analytical needs.

Scientific Applications:

  • Genomic Data Analysis: Enables sequence alignment, gene expression analysis, and variant calling workflows within the Bioconductor ecosystem.
  • Molecular Biology Studies: Facilitates analyses of protein interactions, pathway analysis, and other molecular biology investigations.

Methodology:

Implemented in the statistical programming language R, BiocGenerics exposes S4 generics and leverages R's data manipulation, statistical modeling, and visualization capabilities; packages using it undergo formal initial review and continuous automated testing.

Topics

Collections

Details

License:
Artistic-2.0
Tool Type:
command-line tool, library
Operating Systems:
Linux, Windows, Mac
Programming Languages:
R
Added:
1/17/2017
Last Updated:
1/11/2019

Operations

Data Inputs & Outputs

Gene expression analysis

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

Downloads