Literature DB >> 20139469

Metscape: a Cytoscape plug-in for visualizing and interpreting metabolomic data in the context of human metabolic networks.

Jing Gao1, V Glenn Tarcea, Alla Karnovsky, Barbara R Mirel, Terry E Weymouth, Christopher W Beecher, James D Cavalcoli, Brian D Athey, Gilbert S Omenn, Charles F Burant, H V Jagadish.   

Abstract

SUMMARY: Metscape is a plug-in for Cytoscape, used to visualize and interpret metabolomic data in the context of human metabolic networks. We have developed a metabolite database by extracting and integrating information from several public sources. By querying this database, Metscape allows users to trace the connections between metabolites and genes, visualize compound networks and display compound structures as well as information for reactions, enzymes, genes and pathways. Applying the pathway filter, users can create subnetworks that consist of compounds and reactions from a given pathway. Metscape allows users to upload experimental data, and visualize and explore compound networks over time, or experimental conditions. Color and size of the nodes are used to visualize these dynamic changes. Metscape can display the entire metabolic network or any of the pathway-specific networks that exist in the database. AVAILABILITY: Metscape can be installed from within Cytoscape 2.6.x under 'Network and Attribute I/O' category. For more information, please visit http://metscape.ncibi.org/tryplugin.html.

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Year:  2010        PMID: 20139469      PMCID: PMC2844990          DOI: 10.1093/bioinformatics/btq048

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  12 in total

1.  Cytoscape: a software environment for integrated models of biomolecular interaction networks.

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Review 2.  An introduction to metabolic networks and their structural analysis.

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3.  Supporting cognition in systems biology analysis: findings on users' processes and design implications.

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Journal:  J Biomed Discov Collab       Date:  2009-02-13

4.  Metabolic network visualization eliminating node redundance and preserving metabolic pathways.

Authors:  Romain Bourqui; Ludovic Cottret; Vincent Lacroix; David Auber; Patrick Mary; Marie-France Sagot; Fabien Jourdan
Journal:  BMC Syst Biol       Date:  2007-07-03

5.  From genomics to chemical genomics: new developments in KEGG.

Authors:  Minoru Kanehisa; Susumu Goto; Masahiro Hattori; Kiyoko F Aoki-Kinoshita; Masumi Itoh; Shuichi Kawashima; Toshiaki Katayama; Michihiro Araki; Mika Hirakawa
Journal:  Nucleic Acids Res       Date:  2006-01-01       Impact factor: 16.971

6.  A new dynamical layout algorithm for complex biochemical reaction networks.

Authors:  Katja Wegner; Ursula Kummer
Journal:  BMC Bioinformatics       Date:  2005-08-26       Impact factor: 3.169

7.  KEGG Atlas mapping for global analysis of metabolic pathways.

Authors:  Shujiro Okuda; Takuji Yamada; Masami Hamajima; Masumi Itoh; Toshiaki Katayama; Peer Bork; Susumu Goto; Minoru Kanehisa
Journal:  Nucleic Acids Res       Date:  2008-05-13       Impact factor: 16.971

8.  HMDB: a knowledgebase for the human metabolome.

Authors:  David S Wishart; Craig Knox; An Chi Guo; Roman Eisner; Nelson Young; Bijaya Gautam; David D Hau; Nick Psychogios; Edison Dong; Souhaila Bouatra; Rupasri Mandal; Igor Sinelnikov; Jianguo Xia; Leslie Jia; Joseph A Cruz; Emilia Lim; Constance A Sobsey; Savita Shrivastava; Paul Huang; Philip Liu; Lydia Fang; Jun Peng; Ryan Fradette; Dean Cheng; Dan Tzur; Melisa Clements; Avalyn Lewis; Andrea De Souza; Azaret Zuniga; Margot Dawe; Yeping Xiong; Derrick Clive; Russ Greiner; Alsu Nazyrova; Rustem Shaykhutdinov; Liang Li; Hans J Vogel; Ian Forsythe
Journal:  Nucleic Acids Res       Date:  2008-10-25       Impact factor: 16.971

9.  Michigan molecular interactions r2: from interacting proteins to pathways.

Authors:  V Glenn Tarcea; Terry Weymouth; Alex Ade; Aaron Bookvich; Jing Gao; Vasudeva Mahavisno; Zach Wright; Adriane Chapman; Magesh Jayapandian; Arzucan Ozgür; Yuanyuan Tian; Jim Cavalcoli; Barbara Mirel; Jignesh Patel; Dragomir Radev; Brian Athey; David States; H V Jagadish
Journal:  Nucleic Acids Res       Date:  2008-10-31       Impact factor: 16.971

10.  The Edinburgh human metabolic network reconstruction and its functional analysis.

Authors:  Hongwu Ma; Anatoly Sorokin; Alexander Mazein; Alex Selkov; Evgeni Selkov; Oleg Demin; Igor Goryanin
Journal:  Mol Syst Biol       Date:  2007-09-18       Impact factor: 11.429

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  89 in total

1.  The NIH National Center for Integrative Biomedical Informatics (NCIBI).

Authors:  Brian D Athey; James D Cavalcoli; H V Jagadish; Gilbert S Omenn; Barbara Mirel; Matthias Kretzler; Charles Burant; Raphael D Isokpehi; Charles DeLisi
Journal:  J Am Med Inform Assoc       Date:  2011-11-19       Impact factor: 4.497

2.  Predicting the in vivo mechanism of action for drug leads using NMR metabolomics.

Authors:  Steven Halouska; Robert J Fenton; Raúl G Barletta; Robert Powers
Journal:  ACS Chem Biol       Date:  2011-12-01       Impact factor: 5.100

3.  Metabolomics reveals differential levels of oral metabolites in HIV-infected patients: toward novel diagnostic targets.

Authors:  Mahmoud A Ghannoum; Pranab K Mukherjee; Richard J Jurevic; Mauricio Retuerto; Robert E Brown; Masoumeh Sikaroodi; Jennifer Webster-Cyriaque; Patrick M Gillevet
Journal:  OMICS       Date:  2011-07-13

Review 4.  Metabolomics: A Primer.

Authors:  Xiaojing Liu; Jason W Locasale
Journal:  Trends Biochem Sci       Date:  2017-02-11       Impact factor: 13.807

5.  Metabolomic analysis and visualization engine for LC-MS data.

Authors:  Eugene Melamud; Livia Vastag; Joshua D Rabinowitz
Journal:  Anal Chem       Date:  2010-11-04       Impact factor: 6.986

6.  MetaMapR: pathway independent metabolomic network analysis incorporating unknowns.

Authors:  Dmitry Grapov; Kwanjeera Wanichthanarak; Oliver Fiehn
Journal:  Bioinformatics       Date:  2015-04-05       Impact factor: 6.937

7.  Analyzing LC/MS metabolic profiling data in the context of existing metabolic networks.

Authors:  Tianwei Yu; Yun Bai
Journal:  Curr Metabolomics       Date:  2013-01-01

8.  Pharmacometabolomics reveals a role for histidine, phenylalanine, and threonine in the development of paclitaxel-induced peripheral neuropathy.

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Journal:  Breast Cancer Res Treat       Date:  2018-06-26       Impact factor: 4.872

Review 9.  Review of recent developments in GC-MS approaches to metabolomics-based research.

Authors:  David J Beale; Farhana R Pinu; Konstantinos A Kouremenos; Mahesha M Poojary; Vinod K Narayana; Berin A Boughton; Komal Kanojia; Saravanan Dayalan; Oliver A H Jones; Daniel A Dias
Journal:  Metabolomics       Date:  2018-11-17       Impact factor: 4.290

10.  Atypical Antipsychotic Exposure May Not Differentiate Metabolic Phenotypes of Patients with Schizophrenia.

Authors:  Kristen M Ward; Larisa Yeoman; Cora McHugh; A Zarina Kraal; Stephanie A Flowers; Amy E Rothberg; Alla Karnovsky; Arun K Das; Vicki L Ellingrod; Kathleen A Stringer
Journal:  Pharmacotherapy       Date:  2018-06       Impact factor: 4.705

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