KEGGlincs

KEGGlincs integrates LINCS gene expression perturbation data with KEGG pathway topologies to quantify how gene knockouts alter signaling relationships in a cell-type–specific manner.


Key Features:

  • R/Bioconductor implementation: Implemented as an R/Bioconductor package for programmatic analysis of perturbation and pathway data.
  • KOdata companion: Includes the KOdata companion data package providing manually curated KEGG pathway topologies.
  • LINCS integration: Leverages LINCS large-scale gene expression profiles for individual gene knockouts across cancer cell lines.
  • Pairwise perturbation overlap analysis: Quantifies overlap in deregulated genes between pairs of knockout experiments to infer functional relationships.
  • KEGG edge annotation: Programmatically annotates KEGG pathway edges with perturbation-derived metrics.
  • Quantitative pathway perturbation measures: Produces quantitative measures of pathway perturbation that reflect changes in gene function rather than expression alone.
  • Cytoscape export: Exports annotated networks for visualization and further analysis in Cytoscape.
  • Cell-type–specific assessment: Enables assessment of pathway heterogeneity across cancer cell lines in a cell-type–specific manner.

Scientific Applications:

  • Inference of functional relationships: Inferring functional relationships between KEGG pathway components from knockout-induced deregulation overlap.
  • Pathway heterogeneity analysis: Assessing heterogeneity of signaling relationships across cell types and cancer cell lines.
  • Mechanistic interpretation: Revealing mechanistic insights into biochemical signaling by integrating KEGG topology with LINCS perturbation data.

Methodology:

KEGGlincs uses LINCS knockout gene expression profiles across cancer cell lines, computes overlap in deregulated genes between knockout pairs, programmatically annotates KEGG pathway edges with perturbation-derived quantitative metrics, and uses the KOdata package for curated KEGG pathway topologies; annotated networks can be exported to Cytoscape.

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:
12/10/2018

Operations

Data Inputs & Outputs

Pathway or network analysis

Publications

White S, Medvedovic M. KEGGlincs design and application: an R package for exploring relationships in biological pathways. Unknown Journal. 2016. doi:10.7490/f1000research.1113436.1.

Documentation

Downloads