copycatLayout
copycatLayout maps node column values and view geometry between network layouts within Cytoscape to enable visual differential analysis of biological networks.
Key Features:
- Enhanced Network Cloning: Maps and clones node positions along with view scale and location to preserve spatial context across network views.
- Node Mapping Identification: Identifies nodes successfully mapped between source and target networks and detects missing or unmatched nodes.
- Additional Layout Options: Provides multiple layout options to apply different spatial arrangements when transferring layouts between networks.
- Integration with Cytoscape Automation: Exposes functionality via Cytoscape Automation and REST calls to enable scripted, programmatic network comparisons.
Scientific Applications:
- Visual Comparison of Homologous Genes: Visually compares groups of homologous genes across different network views to identify conserved or divergent patterns.
- Network Comparison for Publications: Generates comparative network views suitable for inclusion in scientific publications.
- Rapid Identification of Network Differences: Provides quick visual overviews to locate differences between similar networks.
Methodology:
Maps node column values from a source network layout to a target layout while preserving view scale and location; uses Cytoscape Automation REST calls to identify nodes present in one network but absent in another; scripts can modify mismatched nodes and re-run layouts to visualize changes.
Topics
Collections
Details
- License:
- GPL-2.0
- Tool Type:
- plugin
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- Java, Python
- Added:
- 8/10/2018
- Last Updated:
- 12/10/2018
Operations
Data Inputs & Outputs
Pathway or network analysis
Inputs
Publications
Settle B, Otasek D, Morris JH, Demchak B. Copycat Layout: Network layout alignment via Cytoscape Automation. F1000Research. 2018;7:822. doi:10.12688/f1000research.15144.2. PMID:30026936. PMCID:PMC6039917.
Funding: - National Institute of General Medical Sciences: R01 GM070743
- National Resource for Network Biology: P41 GM103504