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40 Publikationen

2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2913690 OA
Zhu, L., & Ester, M. (2017). Bayesian Collective Markov Random Fields for Subcellular Localization Prediction of Human Proteins. Proceedings of the 8th ACM International Conference on Bioinformatics, Computational Biology,and Health Informatics - ACM-BCB '17 ACM Press. doi:10.1145/3107411.3107412
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2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2765914
Zhu, L., Malatras, A., Thorley, M., Aghoghogbe, I., Mer, A., Duguez, S., Butler-Browne, G., et al. (2015). CellWhere: graphical display of interaction networks organized on subcellular localizations. Nucleic Acids Research, 43(W1), W571-W575. doi:10.1093/nar/gkv354
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2013 | Bielefelder E-Dissertation | PUB-ID: 2594322 OA
Janowski, S. J. (2013). VANESA - A bioinformatics software application for the modeling, visualization, analysis, and simulation of biological networks in systems biology applications. Bielefeld: Bielefeld University.
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2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2560811
Lee, H. - M., Dietz, K. - J., & Hofestädt, R. (2013). Computational construction of specialized biological networks. Journal of Bioinformatics and Computational Biology, 11(01), 1340003. doi:10.1142/S0219720013400039
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2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2560817
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
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2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2374720
Hippe, K., Kormeier, B., Janowski, S. J., Töpel, T., & Hofestädt, R. (2011). DAWIS-M.D. 2.0 - A Data Warehouse Information System for Metabolic Data. Proceedings of the 7th International Symposium on Integrative Bioinformatics
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2011 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2376427
Hofestädt, R. (2011). Petri Nets and the Simulation of Metabolic Networks. In E. Wingender (Ed.), Studies in health technology and informatics: Vol. 162. Biological Petri Nets (1. Edition., pp. 1-2). Amsterdam: IOS Press.
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2011 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2376491
Hofestädt, R., & Thelen, S. (2011). Quantitative Modeling of Biochemical Networks. In E. Wingender (Ed.), Studies in health technology and informatics: Vol. 162. Biological Petri Nets (1. Edition., pp. 3-16). Amsterdam: IOS Press.
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2011 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2376523
Chen, M., & Hofestädt, R. (2011). Quantitative Petri Net Model of Gene Regulated Metabolic Networks in the Cell. In E. Wingender (Ed.), Studies in health technology and informatics: Vol. 162. Biological Petri Nets (1. Edition., pp. 38-55). Amsterdam: IOS Press.
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2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2290112
Chen, M., Hu, M., & Hofestädt, R. (2011). A Systematic Petri Net Approach for Multiple-Scale Modeling and Simulation of Biochemical Processes. Applied Biochemistry and Biotechnology, 164(3), 338-352. doi:10.1007/s12010-010-9138-2
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2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2326407
Chen, M., Hariharaputran, S., Hofestädt, R., Kormeier, B., & Spangardt, S. (2011). Petri net models for the semi-automatic construction of large scale biological networks. Natural Computing, 10(3), 1077-1097. doi:10.1007/s11047-009-9151-y
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2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2408590
Huang, D., Huang, Y., Bai, Y., Chen, D., Hofestädt, R., Klukas, C., & Chen, M. (2011). MyBioNet: interactively visualize, edit and merge biological networks on the Web. Bioinformatics, 27(23), 3321-3322. doi:10.1093/bioinformatics/btr557
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2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2458209
Hofestädt, R. (2011). Fundamental Features of Metabolic Computing. In I. Batyrshin & G. Sidorov (Eds.), Lecture Notes in Computer Science: Vol. 7095. Advances in Soft Computing: 10th Mexican International Conference on Artificial Intelligence, MICAI 2011, Puebla, Mexico, November 26 - December 4, 2011, Proceedings, Part II (pp. 143-152). Berlin, Heidelberg: Springer. doi:10.1007/978-3-642-25330-0_13
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2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2408602
Kormeier, B., Hippe, K., & Hofestädt, R. (2011). Data Warehouses in Bioinformatics: Integration of Molecular Biological Data. it Information Technology, 53(5), 241-249. doi:10.1524/itit.2011.0649
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2010 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2408607
Lee, H. - M., Dietz, K. - J., & Hofestädt, R. (2010). Prediction of thioredoxin and glutaredoxin target proteins by identifying reversibly oxidized cysteinyl residues. Journal of Integrative Bioinformatics (Special Issue), 7(3), 23-34. doi:10.2390/biecoll-jib-2010-130
PUB | DOI | PubMed | Europe PMC
 
2010 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2406168
Kormeier, B., Hippe, K., Töpel, T., & Hofestädt, R. (2010). CardioVINEdb: a data warehouse approach for integration of life science data in cardiovascular diseases. Journal of Integrative Bioinformatics, 7(1), 142. doi:10.2390/biecoll-jib-2010-142
PUB | DOI | PubMed | Europe PMC
 
2010 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1945096
Kormeier, B., Hippe, K., Arrigo, P., Töpel, T., Janowski, S. J., & Hofestädt, R. (2010). Reconstruction of biological networks based on life science data integration. Journal of Integrative Bioinformatics, 7(2), 3-8. doi:10.2390/biecoll-jib-2010-146
PUB | DOI | PubMed | Europe PMC
 
2010 | Konferenzband | Veröffentlicht | PUB-ID: 2376605
Hofestädt R., & Kolchanov N. (Eds.) (2010). Computational Systems Biology: German/Russian Network of Computational Systems Biology. Medizinische Informatik und Bioinformatik
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2010 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2409400
Töpel, T., Scheible, D., Trefz, F., & Hofestädt, R. (2010). RAMEDIS: a comprehensive information system for variations and corresponding phenotypes of rare metabolic diseases. Human Mutation, 31(1), E1081-E1088. doi:10.1002/humu.21169
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2010 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2374757
Sommer, B., Tiys, E. S., Kormeier, B., Hippe, K., Janowski, S. J., Ivanisenko, T. V., Bragin, A. O., et al. (2010). Visualization and Analysis of a Cardio Vascular Disease-and MUPP1-related Biological Network combining Text Mining and Data Warehouse Approaches. Journal of Integrative Bioinformatics, 7(1), 148. doi:10.2390/biecoll-jib-2010-148
PUB | DOI | PubMed | Europe PMC
 

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