title: Metscape 2 bioinformatics tool for the analysis and visualization of metabolomics and gene expression data.
abstract: BACKGROUND
  Metabolomics is a rapidly evolving field that holds promise to provide insights into genotype-phenotype relationships in cancers, diabetes and other complex diseases. One of the major informatics challenges is providing tools that link metabolite data with other types of high-throughput molecular data (e.g. transcriptomics, proteomics), and incorporate prior knowledge of pathways and molecular interactions.
  
  
  RESULTS
  We describe a new, substantially redesigned version of our tool Metscape that allows users to enter experimental data for metabolites, genes and pathways and display them in the context of relevant metabolic networks. Metscape 2 uses an internal relational database that integrates data from KEGG and EHMN databases. The new version of the tool allows users to identify enriched pathways from expression profiling data, build and analyze the networks of genes and metabolites, and visualize changes in the gene/metabolite data. We demonstrate the applications of Metscape to annotate molecular pathways for human and mouse metabolites implicated in the pathogenesis of sepsis-induced acute lung injury, for the analysis of gene expression and metabolite data from pancreatic ductal adenocarcinoma, and for identification of the candidate metabolites involved in cancer and inflammation.
  
  
  BACKGROUND
  Metscape is part of the National Institutes of Health-supported National Center for Integrative Biomedical Informatics (NCIBI) suite of tools, freely available at http://metscape.ncibi.org. It can be downloaded from http://cytoscape.org or installed via Cytoscape plugin manager.
  
  
  BACKGROUND
  metscape-help@umich.edu; akarnovs@umich.edu
  
  
  BACKGROUND
  Supplementary data are available at Bioinformatics online.
authors.affiliation: Center for Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109-2218, USA. akarnovs@umich.edu
authors.forename: Alla
authors.initials: A
authors.lastname: Karnovsky
authors.forename: Terry
authors.initials: T
authors.lastname: Weymouth
authors.forename: Tim
authors.initials: T
authors.lastname: Hull
authors.forename: V Glenn
authors.initials: VG
authors.lastname: Tarcea
authors.forename: Giovanni
authors.initials: G
authors.lastname: Scardoni
authors.forename: Carlo
authors.initials: C
authors.lastname: Laudanna
authors.forename: Maureen A
authors.initials: MA
authors.lastname: Sartor
authors.forename: Kathleen A
authors.initials: KA
authors.lastname: Stringer
authors.forename: H V
authors.initials: HV
authors.lastname: Jagadish
authors.forename: Charles
authors.initials: C
authors.lastname: Burant
authors.forename: Brian
authors.initials: B
authors.lastname: Athey
authors.forename: Gilbert S
authors.initials: GS
authors.lastname: Omenn
mesh_terms: D000230:Adenocarcinoma / Q000235:genetics / Q000378:metabolism; D000818:Animals; D020869:Gene Expression Profiling; D006801:Humans; D007249:Inflammation / Q000378:metabolism; D053858:Metabolic Networks and Pathways; D055432:Metabolomics; D051379:Mice; D010190:Pancreatic Neoplasms / Q000235:genetics / Q000378:metabolism; D040901:Proteomics; D018805:Sepsis / Q000378:metabolism; D012984:Software