NeAT -- network analysis tools

What you can do:
A toolbox for the analysis of biological networks, clusters, classes and pathways.
Highlights:
  • NeAT provides a user-friendly web access to a collection of modular tools for the analysis of networks (graphs) and clusters (e.g. microarray clusters, functional classes, etc.).
  • A first set of tools supports basic operations on graphs (comparison between two graphs, neighborhood of a set of input nodes, path finding and graph randomization).
  • Another set of programs makes the connection between networks and clusters (graph-based clustering, cliques discovery and mapping of clusters onto a network).
  • The toolbox also includes programs for detecting significant intersections between clusters/classes (e.g. clusters of co-expression versus functional classes of genes).
  • NeAT are designed to cope with large datasets and provide a flexible toolbox for analyzing biological networks stored in various databases (protein interactions, regulation and metabolism) or obtained from high-throughput experiments (two-hybrid, mass-spectrometry and microarrays).
  • The web interface interconnects the programs in predefined analysis flows, enabling to address a series of questions about networks of interest.
  • Each tool can also be used separately by entering custom data for a specific analysis.
  • NeAT can also be used as web services (SOAP/WSDL interface), in order to design programmatic workflows and integrate them with other available resources.
Keywords:
  • network analysis
  • cluster analysis
  • biological networks
  • molecular interactions
  • networks
  • clusters
This record last updated: 07-29-2008
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