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
Inputs
Outputs
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.