Subcellular localization charts: a new visual methodology for the semi-automatic localization of protein-related data sets

Sommer B, Kormeier B, Demenkov PS, Arrigo P, Hippe K, Ates Ö, Kochetov AV, Ivanisenko VA, Kolchanov NA, Hofestädt R (2013)
Journal of Bioinformatics and Computational Biology 11(01): 1340005.

Zeitschriftenaufsatz | Veröffentlicht | Englisch
 
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Abstract / Bemerkung
The CELLmicrocosmos PathwayIntegration (CmPI) was developed to support and visualize the subcellular localization prediction of protein-related data such as protein-interaction networks. From the start it was possible to manually analyze the localizations by using an interactive table. It was, however, quite complicated to compare and analyze the different localization results derived from data integration as well as text-mining-based databases. The current software release provides a new interactive visual workflow, the Subcellular Localization Charts. As an application case, a MUPP1-related protein-protein interaction network is localized and semi-automatically analyzed. It will be shown that the workflow was dramatically improved and simplified. In addition, it is now possible to use custom protein-related data by using the SBML format and get a view of predicted protein localizations mapped onto a virtual cell model.
Erscheinungsjahr
2013
Zeitschriftentitel
Journal of Bioinformatics and Computational Biology
Band
11
Ausgabe
01
Seite(n)
1340005
ISSN
0219-7200
eISSN
1757-6334
Page URI
https://pub.uni-bielefeld.de/record/2560817

Zitieren

Sommer B, Kormeier B, Demenkov PS, et al. Subcellular localization charts: a new visual methodology for the semi-automatic localization of protein-related data sets. Journal of Bioinformatics and Computational Biology. 2013;11(01):1340005.
Sommer, B., Kormeier, B., Demenkov, P. S., Arrigo, P., Hippe, K., Ates, Ö., Kochetov, A. V., et al. (2013). Subcellular localization charts: a new visual methodology for the semi-automatic localization of protein-related data sets. Journal of Bioinformatics and Computational Biology, 11(01), 1340005. doi:10.1142/S0219720013400052
Sommer, B., Kormeier, B., Demenkov, P. S., Arrigo, P., Hippe, K., Ates, Ö., Kochetov, A. V., Ivanisenko, V. A., Kolchanov, N. A., and Hofestädt, R. (2013). Subcellular localization charts: a new visual methodology for the semi-automatic localization of protein-related data sets. Journal of Bioinformatics and Computational Biology 11, 1340005.
Sommer, B., et al., 2013. Subcellular localization charts: a new visual methodology for the semi-automatic localization of protein-related data sets. Journal of Bioinformatics and Computational Biology, 11(01), p 1340005.
B. Sommer, et al., “Subcellular localization charts: a new visual methodology for the semi-automatic localization of protein-related data sets”, Journal of Bioinformatics and Computational Biology, vol. 11, 2013, pp. 1340005.
Sommer, B., Kormeier, B., Demenkov, P.S., Arrigo, P., Hippe, K., Ates, Ö., Kochetov, A.V., Ivanisenko, V.A., Kolchanov, N.A., Hofestädt, R.: Subcellular localization charts: a new visual methodology for the semi-automatic localization of protein-related data sets. Journal of Bioinformatics and Computational Biology. 11, 1340005 (2013).
Sommer, Björn, Kormeier, Benjamin, Demenkov, Pavel S., Arrigo, Patrizio, Hippe, Klaus, Ates, Özgür, Kochetov, Alexey V., Ivanisenko, Vladimir A., Kolchanov, Nikolay A., and Hofestädt, Ralf. “Subcellular localization charts: a new visual methodology for the semi-automatic localization of protein-related data sets”. Journal of Bioinformatics and Computational Biology 11.01 (2013): 1340005.

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