SAVI Signaling Analysis and Visualization

Viewing protein-protein and ligand-protein interactions as graphs (networks), where biomolecules are represented as nodes and their interactions are represented as links, is a promising approach for integrating experimental results from different sources to achieve systematic understanding of molecular mechanisms driving cell phenotype. The emergence of large-scale signaling networks provides an opportunity for topological statistical analysis, while visualization of such networks represents a challenge. SAVI implements standard methods to compute the clustering, connectivity distribution and detection, as well as visualization, of network motifs. Additionally, SAVI generates a complete website from network datasets in text format. SAVI contains a tool called PathwayGenerator. This tool creates connection maps as web pages from large tables describing cell signaling interactions. SAVI can also create networks from lists of gene/protein names.Version 2.5 may include unspecified updates, enhancements, or bug fixes.
LicenseFree
File Size20.35 MB
Version2.5
Operating System Windows XP Windows 2000 Windows NT Windows Windows Me Windows 95 Windows 98
System RequirementsWindows (all)