title: MetaNetter: inference and visualization of high-resolution metabolomic networks.
abstract: CONCLUSIONS
  We present a Cytoscape plugin for the inference and visualization of networks from high-resolution mass spectrometry metabolomic data. The software also provides access to basic topological analysis. This open source, multi-platform software has been successfully used to interpret metabolomic experiments and will enable others using filtered, high mass accuracy mass spectrometric data sets to build and analyse networks.
  
  
  BACKGROUND
  http://compbio.dcs.gla.ac.uk/fabien/abinitio/abinitio.html
authors.affiliation: UMR1089 Xénobiotiques INRA-ENVT, 180 chemin de Tournefeuille, St-Martin-du-Touch, BP3 31931 Toulouse, France. Fabien.Jourdan@toulouse.inra.fr
authors.forename: Fabien
authors.initials: F
authors.lastname: Jourdan
authors.forename: Rainer
authors.initials: R
authors.lastname: Breitling
authors.forename: Michael P
authors.initials: MP
authors.lastname: Barrett
authors.forename: David
authors.initials: D
authors.lastname: Gilbert
mesh_terms: D003198:Computer Simulation; D020869:Gene Expression Profiling / Q000379:methods*; D008954:Models, Biological; D025941:Protein Interaction Mapping / Q000379:methods*; D020543:Proteome / Q000378:metabolism*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D015398:Signal Transduction / Q000502:physiology*; D012984:Software; D014584:User-Computer Interface
chemical_list: D020543:Proteome