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

Documentation