UCSC Interaction Browser
UCSC Interaction Browser visualizes and integrates functional genomics datasets to reveal regulatory interactions and correlative relationships among genes and their products.
Key Features:
- Simultaneous Data Viewing: Displays multiple genomic datasets concurrently, including genome-wide protein-protein and protein-DNA interactions alongside gene expression data.
- Access to Public Datasets: Provides interaction networks and functional genomics datasets from public sources, including datasets relevant to human cancer samples.
- Custom Data Uploads: Supports import of user-supplied datasets or networks for integration and analysis.
- CircleMap Visualization: Implements CircleMap to present multiple 'omics' datasets within the context of curated, predicted, directed, and undirected regulatory interactions.
- Correlative Relationship Navigation: Enables traversal of correlative relationships for specific gene sets mapped to biological pathways.
Scientific Applications:
- Functional Genomics: Integrates diverse high-throughput datasets to elucidate gene function and regulatory network structure.
- Systems Biology: Facilitates analysis of interactions and pathway-level relationships across multi-omics data.
- Cancer Research: Supports examination of regulatory mechanisms and interaction patterns in human cancer samples.
Methodology:
Uses a consensus-based approach to integrate curated and predicted observations about genes and their products.
Topics
Details
- Tool Type:
- web application
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- Python
- Added:
- 3/25/2017
- Last Updated:
- 12/10/2018
Operations
Publications
Wong CK, et al. The UCSC Interaction Browser: multidimensional data views in pathway context. Nucleic Acids Res. 2013; 41:W218-24. doi: 10.1093/nar/gkt473
PMID: 23748957