cisPath

cisPath provides R/Bioconductor-based functionality to construct, integrate, manage, and visualize functional protein-protein interaction (PPI) networks for proteomics and systems biology analyses.


Key Features:

  • Implementation: Implemented as an R/Bioconductor package to operate within R-based bioinformatics workflows.
  • Integration with Online Databases: Integrates PPI data downloaded from multiple online databases with private datasets to build comprehensive interaction networks.
  • Dynamic Network Construction: Offers functions to generate specific PPI networks based on user-defined criteria using private databases.
  • Network Visualization: Provides functionality to visualize and manipulate network graphs representing PPI relationships.
  • Network Management: Includes functions to manage and store functional PPI networks for downstream analysis.

Scientific Applications:

  • Pathway analysis: Elucidating complex biological pathways by mapping protein interactions.
  • Drug target identification: Identifying potential drug targets through analysis of interaction networks.
  • Disease mechanism exploration: Exploring molecular mechanisms underlying various diseases via network-level interaction analysis.
  • Proteomics and systems biology: Supporting comprehensive analyses that integrate diverse datasets and network-level information.

Methodology:

Implemented in R/Bioconductor with functions to integrate PPI data from multiple online databases and private datasets, construct PPI networks based on user-defined criteria, and visualize/manage resulting network graphs.

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:
11/25/2024

Operations

Publications

Wang L, Yang L, Peng Z, Lu D, Jin Y, McNutt M, Yin Y. cisPath: an R/Bioconductor package for cloud users for visualization and management of functional protein interaction networks. BMC Systems Biology. 2015;9(S1). doi:10.1186/1752-0509-9-s1-s1. PMID:25708840. PMCID:PMC4331675.

Documentation

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