NCIgraph

NCIgraph converts NCI Pathways Database pathway data into R graph objects to enable pathway and network analysis.


Key Features:

  • Integration with NCI Pathways Database: Methods to load biological pathways from the NCI Pathways Database directly into R graph objects.
  • Graph Object Representation: Converts pathways into R graph objects to enable network analyses and graph-based visualizations.
  • Re-formatting Capabilities: Functionality to reformat pathway data structures for specific analytical needs or downstream applications.
  • Bioconductor integration: Interoperability with the Bioconductor ecosystem to enable use with other Bioconductor packages.

Scientific Applications:

  • Pathway Analysis: Exploration and analysis of curated biological pathways to investigate cellular processes and disease mechanisms.
  • Network Biology Studies: Support for network biology investigations of interactions and relationships among biological components.
  • Integration with genomic and statistical analyses: Combining pathway representations with genomic data and statistical methods within the R/Bioconductor environment.

Methodology:

Implemented in R and leveraging the Bioconductor ecosystem; loads NCI Pathways Database entries and converts them into R graph objects.

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