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Journal of Integrative Bioinformatics

Editor-in-Chief: Schreiber, Falk / Hofestädt, Ralf

Managing Editor: Sommer, Björn

Ed. by Baumbach, Jan / Chen, Ming / Orlov, Yuriy / Allmer, Jens

Editorial Board: Giorgetti, Alejandro / Harrison, Andrew / Kochetov, Aleksey / Krüger, Jens / Ma, Qi / Matsuno, Hiroshi / Mitra, Chanchal K. / Pauling, Josch K. / Rawlings, Chris / Fdez-Riverola, Florentino / Romano, Paolo / Röttger, Richard / Shoshi, Alban / Soares, Siomar de Castro / Taubert, Jan / Tauch, Andreas / Yousef, Malik / Weise, Stephan / Hassani-Pak, Keywan


CiteScore 2017: 0.77

SCImago Journal Rank (SJR) 2017: 0.336

Open Access
Online
ISSN
1613-4516
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Volume 11, Issue 2

Issues

VANESA - A Software Application for the Visualization and Analysis of Networks in Systems Biology Applications

Christoph Brinkrolf
  • Corresponding author
  • Bielefeld University, Faculty of Technology, Bioinformatics Department, D-33501 Bielefeld, Germany
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/ Sebastian Jan Janowski
  • Bielefeld University, Faculty of Technology, Bioinformatics Department, D-33501 Bielefeld, Germany
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/ Benjamin Kormeier
  • Bielefeld University, Faculty of Technology, Bioinformatics Department, D-33501 Bielefeld, Germany
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/ Martin Lewinski
  • Bielefeld University, Faculty of Technology, Bioinformatics Department, D-33501 Bielefeld, Germany
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/ Klaus Hippe
  • Bielefeld University, Faculty of Technology, Bioinformatics Department, D-33501 Bielefeld, Germany
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/ Daniela Borck
  • Bielefeld University, Faculty of Technology, Bioinformatics Department, D-33501 Bielefeld, Germany
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/ Ralf Hofestädt
  • Bielefeld University, Faculty of Technology, Bioinformatics Department, D-33501 Bielefeld, Germany
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Published Online: 2016-10-18 | DOI: https://doi.org/10.1515/jib-2014-239

Summary

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.

About the article

Published Online: 2016-10-18

Published in Print: 2014-06-01


Citation Information: Journal of Integrative Bioinformatics, Volume 11, Issue 2, Pages 43–57, ISSN (Online) 1613-4516, DOI: https://doi.org/10.1515/jib-2014-239.

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© 2014 The Author(s). Published by Journal of Integrative Bioinformatics.. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. BY-NC-ND 4.0

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