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

Brinkrolf C, Janowski SJ, Kormeier B, Lewinski M, Hippe K, Borck D, Hofestädt R (2014)
Journal of Integrative Bioinformatics 11(2): 239.

Zeitschriftenaufsatz | Veröffentlicht | Englisch
 
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Abstract / Bemerkung
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.
Erscheinungsjahr
2014
Zeitschriftentitel
Journal of Integrative Bioinformatics
Band
11
Ausgabe
2
Seite(n)
239
ISSN
1613-4516
Page URI
https://pub.uni-bielefeld.de/record/2685732

Zitieren

Brinkrolf C, Janowski SJ, Kormeier B, et al. VANESA - A Software Application for the Visualization and Analysis of Networks in System Biology Applications. Journal of Integrative Bioinformatics. 2014;11(2):239.
Brinkrolf, C., Janowski, S. J., Kormeier, B., Lewinski, M., Hippe, K., Borck, D., & Hofestädt, R. (2014). VANESA - A Software Application for the Visualization and Analysis of Networks in System Biology Applications. Journal of Integrative Bioinformatics, 11(2), 239. doi:10.2390/biecoll-jib-2014-239
Brinkrolf, Christoph, Janowski, Sebastian Jan, Kormeier, Benjamin, Lewinski, Martin, Hippe, Klaus, Borck, Daniela, and Hofestädt, Ralf. 2014. “VANESA - A Software Application for the Visualization and Analysis of Networks in System Biology Applications”. Journal of Integrative Bioinformatics 11 (2): 239.
Brinkrolf, C., Janowski, S. J., Kormeier, B., Lewinski, M., Hippe, K., Borck, D., and Hofestädt, R. (2014). VANESA - A Software Application for the Visualization and Analysis of Networks in System Biology Applications. Journal of Integrative Bioinformatics 11, 239.
Brinkrolf, C., et al., 2014. VANESA - A Software Application for the Visualization and Analysis of Networks in System Biology Applications. Journal of Integrative Bioinformatics, 11(2), p 239.
C. Brinkrolf, et al., “VANESA - A Software Application for the Visualization and Analysis of Networks in System Biology Applications”, Journal of Integrative Bioinformatics, vol. 11, 2014, pp. 239.
Brinkrolf, C., Janowski, S.J., Kormeier, B., Lewinski, M., Hippe, K., Borck, D., Hofestädt, R.: VANESA - A Software Application for the Visualization and Analysis of Networks in System Biology Applications. Journal of Integrative Bioinformatics. 11, 239 (2014).
Brinkrolf, Christoph, Janowski, Sebastian Jan, Kormeier, Benjamin, Lewinski, Martin, Hippe, Klaus, Borck, Daniela, and Hofestädt, Ralf. “VANESA - A Software Application for the Visualization and Analysis of Networks in System Biology Applications”. Journal of Integrative Bioinformatics 11.2 (2014): 239.

5 Zitationen in Europe PMC

Daten bereitgestellt von Europe PubMed Central.

Modeling and Simulating the Aerobic Carbon Metabolism of a Green Microalga Using Petri Nets and New Concepts of VANESA.
Brinkrolf C, Henke NA, Ochel L, Pucker B, Kruse O, Lutter P., J Integr Bioinform 15(3), 2018
PMID: 30218605
PROFEAT Update: A Protein Features Web Server with Added Facility to Compute Network Descriptors for Studying Omics-Derived Networks.
Zhang P, Tao L, Zeng X, Qin C, Chen SY, Zhu F, Yang SY, Li ZR, Chen WP, Chen YZ., J Mol Biol 429(3), 2017
PMID: 27742592
Visualization and Analysis of MicroRNAs within KEGG Pathways using VANESA.
Hamzeiy H, Suluyayla R, Brinkrolf C, Janowski SJ, Hofestaedt R, Allmer J., J Integr Bioinform 14(1), 2017
PMID: 28609293
A protein network descriptor server and its use in studying protein, disease, metabolic and drug targeted networks.
Zhang P, Tao L, Zeng X, Qin C, Chen S, Zhu F, Li Z, Jiang Y, Chen W, Chen YZ., Brief Bioinform 18(6), 2017
PMID: 27542402
Visualizing genome and systems biology: technologies, tools, implementation techniques and trends, past, present and future.
Pavlopoulos GA, Malliarakis D, Papanikolaou N, Theodosiou T, Enright AJ, Iliopoulos I., Gigascience 4(), 2015
PMID: 26309733
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