a4Core

a4Core enables interoperability with the nlcv R package and supports high-throughput genomics and molecular biology data analysis within the Bioconductor ecosystem.


Key Features:

  • Interoperability: Integrates with the nlcv R package to enable advanced statistical modeling and visualization.
  • Bioconductor integration: Operates within the Bioconductor ecosystem and is interoperable with other Bioconductor packages.
  • Statistical programming in R: Implements analytical functions using the R statistical programming environment for applying statistical models and producing data visualizations.

Scientific Applications:

  • Genomics and molecular biology: Supports analysis of high-throughput genomics and molecular biology datasets to derive biological insights from experimental data.

Methodology:

Computational methods explicitly include integration with the nlcv R package and use of R's statistical programming environment for applying statistical models and generating visualizations within the Bioconductor ecosystem.

Topics

Collections

Details

License:
GPL-3.0
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.

Documentation

Downloads