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VANESA - a software application for the visualization and analysis of networks in system biology applications.
Brinkrolf, Christoph; Janowski, Sebastian Jan; Kormeier, Benjamin; Lewinski, Martin; Hippe, Klaus; Borck, Daniela; Hofestädt, Ralf.
Afiliación
  • Brinkrolf C; Bielefeld University, Faculty of Technology, Bioinformatics Department, 33501 Bielefeld, Germany.
  • Janowski SJ; Bielefeld University, Faculty of Technology, Bioinformatics Department, 33501 Bielefeld, Germany.
  • Kormeier B; Bielefeld University, Faculty of Technology, Bioinformatics Department, 33501 Bielefeld, Germany.
  • Lewinski M; Bielefeld University, Faculty of Technology, Bioinformatics Department, 33501 Bielefeld, Germany.
  • Hippe K; Bielefeld University, Faculty of Technology, Bioinformatics Department, 33501 Bielefeld, Germany.
  • Borck D; Bielefeld University, Faculty of Technology, Bioinformatics Department, 33501 Bielefeld, Germany.
  • Hofestädt R; Bielefeld University, Faculty of Technology, Bioinformatics Department, 33501 Bielefeld, Germany.
J Integr Bioinform ; 11(2): 239, 2014 Jun 23.
Article en En | MEDLINE | ID: mdl-24953454
ABSTRACT
VANESA is a modeling software for the automatic reconstruction and analysis of biological networks based on life-science database information. Using VANESA, scientists are able to model any kind of biological processes and systems as biological networks. It is now possible for scientists to automatically reconstruct important molecular systems with information from the databases KEGG, MINT, IntAct, HPRD, and BRENDA. Additionally, experimental results can be expanded with database information to better analyze the investigated elements and processes in an overall context. Users also have the possibility to use graph theoretical approaches in VANESA to identify regulatory structures and significant actors within the modeled systems. These structures can then be further investigated in the Petri net environment of VANESA. It is platform-independent, free-of-charge, and available at http//vanesa.sf.net.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Programas Informáticos / Biología Computacional / Biología de Sistemas Límite: Humans Idioma: En Revista: J Integr Bioinform Asunto de la revista: INFORMATICA MEDICA Año: 2014 Tipo del documento: Article País de afiliación: Alemania

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Programas Informáticos / Biología Computacional / Biología de Sistemas Límite: Humans Idioma: En Revista: J Integr Bioinform Asunto de la revista: INFORMATICA MEDICA Año: 2014 Tipo del documento: Article País de afiliación: Alemania
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