NeAT: a toolbox for the analysis of biological networks, clusters, classes and pathways

@article{Brohe2008NeATAT,
  title={NeAT: a toolbox for the analysis of biological networks, clusters, classes and pathways},
  author={Sylvain Broh{\'e}e and Karoline Faust and Gipsi Lima-Mendez and Olivier Sand and Rekin's Janky and Gilles Vanderstocken and Yves Deville and Jacques van Helden},
  journal={Nucleic Acids Research},
  year={2008},
  volume={36},
  pages={W444 - W451}
}
  • Sylvain Brohée, Karoline Faust, +5 authors Jacques van Helden
  • Published 2008
  • Medicine, Computer Science, Biology
  • Nucleic Acids Research
  • The network analysis tools (NeAT) (http://rsat.ulb.ac.be/neat/) provide 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… CONTINUE READING

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