Dr. Dominik Heider, Dipl.-Inform.

Department: Center for Medical Biotechnology, Department of Bioinformatics Address: Universitaetsstr. 1-5, 45117 Essen, Germany Room: S03 S03 A41 Phone: +49 201 183-3975 Fax: +49 201 183-3437 E-mail: dominik.heider@uni-due.de Bioinformatics research group

Short biography:
Postdoctoral research associate, Center for Medical Biotechnology, Department of Bioinformatics, University of Duisburg-Essen, Germany (Nov. 2008 - present)
Visiting lecturer, Department of Experimental Tumorbiology, University of Münster, Germany (Apr. 2009 - present)
Visiting professor, Department of Electrical and Electronic Engineering, Universitá di Cagliari, Italy (Sep. 2009)
Adjunct professor, Institute of Computer Science, University of Münster, Germany (Oct. 2008 - Mar. 2009)
Research assistant, Institute of Computer Science, University of Münster, Germany (Apr. 2008 - Sep. 2008)
Research assistant, Faculty of Biology, University of Münster, Germany (Oct. 2007 - Mar. 2008)
Research assistant, Institute of Computer Science, University of Münster, Germany (Oct. 2006 - Sep. 2007)

Projects:
DNA-Crypt
GTPasePred
JACVANN
GeneFinder


Papers:

1. Hauke S., Pyka M., Heider D.: Towards Improved Trust Diffusion Through Active Recommender Propagation, Systemics and Informatics World Network 2010, 10:121-129
2. Winkler J., Hauke S., Pyka M., Heider D.: JACVANN: A Java Framework For Complex Valued Artificial Neural Networks, Systemics and Informatics World Network 2010, 10:48-55
3. Hauke S., Pyka M., Borschbach M., Heider D.: Augmenting Reputation-based Trust Metrics with Rumor-like Dissemination of Reputation Information, IFIP Advances in Information and Communication Technology 2010, 330:136-147
4. Heider D., Hauke S., Pyka M., Kessler D.: Insights into the classification of small GTPases, Advances and Applications in Bioinformatics and Chemistry 2010, 3:15-24
5. Dybowski J. N.*, Heider D.*, Hoffmann D.: Prediction of co-receptor usage of HIV-1 from genotype, PLoS Comp Biol 2010, 6(4): e1000743, * contributed equally
6. Heider D., Verheyen J., Hoffmann D.: Predicting Bevirimat resistance of HIV-1 from genotype, BMC Bioinformatics 2010, 11:37
7. Pyka M., Hertog M., Fernandez R., Hauke S., Heider D., Dannlowski U. and Konrad C.: fMRI data visualization with BrainBlend and Blender, Neuroinformatics 2010, 8(1): 21-31
8. Pyka M., Beckmann C. F., Schöning S., Hauke S., Heider D., Kugel H., Arolt V., Konrad C.: Impact of working memory load on fMRI resting state pattern in subsequent resting phase, PLoS ONE 2009, 4(9): e7198
9. Heider D., Appelmann J., Bayro T., Dreckmann W., Held A., Winkler J., Barnekow A., Borschbach M.: A computational approach for the identification of small GTPases based on preprocessed amino acid sequences, Technology in Cancer Research and Treatment 2009, 8(5):333-342
10. Heider D., Pyka M., Barnekow A.: DNA watermarks in non-coding regulatory sequences, BMC Research Notes 2009, 2:125
11. Hauke S., Pyka M., Heider D., M. Borschbach: A reputation-based trust framework leveraging the dynamics of complex socio-economic networks for information dissemination, Communications of SIWN 2009, 7:53-58
12. Borschbach M., Hauke S., Pyka M., Heider D.: Opportunities and limitations of a principal component analysis optimized machine learning approach for the identification and classification of cancer involved proteins, Communications of SIWN 2009, 6:85-89
13. Heider D., Kessler D., Barnekow A.: Watermarking sexually reproducing diploid organisms, Bioinformatics 2008, 24(17):1961-1962
14. Heider D., Barnekow A.: DNA watermarks: A proof of concept, BMC Molecular Biology 2008, 9:40
15. Heider D.: A genetic algorithm for producing analogous proteins, Proceedings of the 1st Interdisciplinary Conference on Applied Soft-Computing (ICASC 2008), Muenster, Germany, no pp. given
16. Heider D., Barnekow A.: DNA-based watermarks using the DNA-Crypt algorithm, BMC Bioinformatics 2007, 8:176
17. Braeuning R., Heider D., Jabs S., Kegel P.: YaLiS - Yet another Life Simulation, Technical Report 2006, Institute of Computer Science, University of Muenster, Germany

1. Dybowski J.N., Heider D., Hoffmann D.: Prediction of coreceptor usage from HIV-1 genotype and application to deep sequencing, 18th International AIDS Conference (AIDS 2010), Vienna, Austria
2. Winkler J., Heider D.: ProteinReactor: A Genetic Algorithm to Generate Protein Sequences, 6th NanoBio-Europe 2010, Muenster, Germany
3. Dybowski J. N., Heider D., Hoffmann D.: Genotypic Prediction of HIV-1 Coreceptor Usage and Application to Deep Sequencing, RIBS Forum, Essen, Germany
4. Pyka M., Hauke S., Heider D., Dannlowski U., Konrad C.: Modelling effective connectivity in fMRI data with artificial neural networks, Frontiers in Neuroinformatics, 2nd INCF Congress of Neuroinformatics 2009, Pilsen, Czech Republic
5. Borschbach M., Hauke S., Pyka M., Heider D.: A preprocessing scheme to reduce the computational complexity of prediction, identification and classification of cancer involved proteins based on machine learning, 17th International Conference on Computing (CIC 2008), Mexico City, Mexico
6. Heider D., Barnekow A.: DNA watermarks and sexual transmission, Europ. J. Cell Biol. 2008, 87S1, 58
7. Heider D., Barnekow A.: DNA watermarks in living organisms, Proceedings of the GBM Fall Meeting 2007, Hamburg, Germany