Dr. Peter Meinicke
Universität Göttingen
Institut für Mikrobiologie und Genetik
Abteilung für Bioinformatik
Goldschmidtstr. 1 (Raum 263)
37077 Göttingen
Germany
My spam-protected E-mail is:
[my_first_name]@gobics.de
| Phone: | +49 551 39-14925 |
| Secretary: | +49 551 39-14966 |
| FAX: | +49 551 39-14929 |
Short CV
- From '89 to '95 I studied "Naturwissenschaftliche Informatik" at the Faculty of Technology at Bielefeld University
- From '96 to '99 I was a member of the graduate progam Task-oriented Communication and in '97 I joined the Neuroinformatics Group in Bielefeld.
- From '00 to March '03 I have been with the Research Centre Situated Artificial Communicators (SFB 360) where I was concerned with the analysis of EEG data within the project area Cortical Representation and Processing of Language
- In April '03 I joined the Department of Bioinformatics at the University of Göttingen as a senior researcher.
Research Interests
- In general: Machine Learning for analysis of biological systems
- In particular: Data Mining on DNA/protein sequences and mass spectrometry data
- Lecture: Maschinelles Lernen in der Bioinformatik.
Publications
- F. Schreiber, P. Gumrich, R. Daniel, and P. Meinicke. Treephyler: fast taxonomic profiling of metagenomes. Bioinformatics, Advance Access, 2010. [WWW ]
- P. Meinicke. UFO: a web server for ultra-fast functional profiling of whole genome protein sequences. BMC Genomics, 10:409, 2009. [WWW ]
- K. J. Hoff, T. Lingner, P. Meinicke, and M. Tech. Orphelia: predicting genes in metagenomic sequencing reads. Nucleic Acids Research, 37:W101-W105, 2009.
- A. Kaever, T. Lingner, K. Feussner, C. Goebel, I. Feussner, and P. Meinicke. MarVis: a tool for clustering and visualization of metabolic markers. BMC Bioinformatics, 10:92, 2009. [WWW ]
- P. Meinicke, T. Lingner, A. Kaever, K. Feussner, C. Goebel, I. Feussner, P. Karlovsky, and B. Morgenstern. Metabolite-based clustering and visualization of mass spectrometry data using one-dimensional self-organizing maps. Algorithms for Molecular Biology, 3:9, 2008. [WWW ]
- T. Lingner and P. Meinicke. Word correlation matrices for protein sequence analysis and remote homology detection. BMC Bioinformatics, 9:259, 2008. [WWW ]
- K.J. Hoff, M. Tech, T. Lingner, R. Daniel, B. Morgenstern, and P. Meinicke. Gene prediction in metagenomic fragments: a large scale machine learning approach. BMC Bioinformatics, 9:217, 2008. [WWW ]
- B. Mersch, T. Glasmachers, P. Meinicke, and C. Igel. Evolutionary Optimization of Sequence Kernels for Detection of Bacterial Gene Starts. International Journal of Neural Systems, 17(5):369-381, 2007. (Selected paper of ICANN 2006)
- L. Taher, P. Meinicke, and B. Morgenstern. On splice site prediction using weight array models: a comparison of smoothing techniques. Journal of Physics: Conference Series, 90:012004, 2007. [WWW ]
- C. Igel, T. Glasmachers, B. Mersch, N. Pfeifer, and P. Meinicke. Gradient-based Optimization of Kernel-Target Alignment for Sequence Kernels Applied to Bacterial Gene Start Detection. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 4(2):216-226, 2007.
- T. Lingner and P. Meinicke. Remote homology detection based on oligomer distances. Bioinformatics, 22(18):2224-2231, 2006. [WWW ]
- B. Mersch, T. Glasmachers, P. Meinicke, and C. Igel. Evolutionary Optimization of Sequence Kernels for Detection of Bacterial Gene Starts. In Proc. of the Int. Conf. on Artificial Neural Networks 2006, pages 827-836, 2006. Springer, LNCS 4132.
- P. Meinicke, T. Brodag, W. F. Fricke, and S. Waack. P-value based visualization of codon usage data. Algorithms for Molecular Biology, 1:10, 2006. [WWW ]
- M. Tech, B. Morgenstern, and P. Meinicke. TICO: a tool for postprocessing the predictions of prokaryotic translation initiation sites. Nucleic Acids Research, 34:588 -- 590, 2006.
- S. Waack, O. Keller, R. Asper, T. Brodag, C. Damm, W. F. Fricke, K. Surovcik, P. Meinicke, and R. Merkl. Score-based prediction of genomic islands in prokaryotic genomes using hidden Markov models. BMC Bioinformatics, 7:142, 2006. [WWW ]
- M. Tech and P. Meinicke. An unsupervised classification scheme for improving predictions of prokaryotic TIS. BMC Bioinformatics, 7:121, 2006. [WWW ]
- M. Tech, N. Pfeifer, B. Morgenstern, and P. Meinicke. TICO: a tool for improving predictions of prokaryotic translation initiation sites. Bioinformatics, 21(17):3568-3569, 2005. [WWW ]
- P. Meinicke, S. Klanke, R. Memisevic, and H. Ritter. Principal Surfaces from Unsupervised Kernel Regression. IEEE Transactions on Pattern Analysis and Machine Intelligence, 27(9):1379-1391, 2005.
- P. Meinicke, M. Tech, B. Morgenstern, and R. Merkl. Oligo Kernels for datamining on biological sequences: A case study on prokaryotic translation initiation sites. BMC Bioinformatics, 5:169, 2004. [WWW]
- M. Kaper, P. Meinicke, U. Grossekathoefer, T. Lingner, and H. Ritter. BCI Competition 2003 - Dataset IIb: Support Vector Machines for the P300 speller paradigm. IEEE Transactions on Biomedical Engineering, 51(6):1073-1076, 2004.
- P. Meinicke, T. Hermann, H. Bekel, H. M. Mueller, S. Weiss, and H. Ritter. Identification of discriminative features in the EEG. Intelligent Data Analysis, 8(1):97-107, 2004. [WWW]
- P. Meinicke, T. Twellmann, and H. Ritter. Discriminative Densities from Maximum Contrast Estimation. In S. Becker, S. Thrun, and K. Obermayer, editors, Advances in Neural Information Processing Systems 15, Cambridge, MA, pages 985-992, 2003. MIT Press. [WWW]
- P. Meinicke, M. Kaper, F. Hoppe, M. Heumann, and H. Ritter. Improving Transfer Rates in Brain Computer Interfacing: A Case Study. In S. Becker, S. Thrun, and K. Obermayer, editors, Advances in Neural Information Processing Systems 15, pages 1107--1114. MIT Press, Cambridge, MA, 2003. [WWW]
- P. Meinicke, T. Twellmann, and H. Ritter. Maximum Contrast Classifiers. In José R. Dorronsoro, editor, Proc. of the Int. Conf. on Artificial Neural Networks 2002, pages 745-750, 2002. Springer, LNCS 2415.
- T. Hermann, P. Meinicke, H. Bekel, H. Ritter, H. Mueller, and S. Weiss. Sonification for EEG Data Analysis. In R. Nakatsu and H. Kawahara, editors, Proc. of the Int. Conf. on Auditory Display, pages 37--41, 2002. Int. Community for Auditory Display.
- P. Meinicke and H. Ritter. Quantizing Density Estimators. In T. G. Dietterich, S. Becker, and Z. Ghahramani, editors, Advances in Neural Information Processing Systems 14, Cambridge, MA, pages 825--832, 2002. MIT Press. [WWW ]
- P. Meinicke and H. Ritter. Independent Component Analysis with Quantizing Density Estimators. In Third International Conference on Independent Component Analysis and Signal Separation, pages 224-229, 2001.
- P. Meinicke and H. Ritter. Resolution-Based Complexity Control for Gaussian Mixture Models. Neural Computation, 13(2):453-475, 2001.
- P. Meinicke. Unsupervised Learning in a Generalized Regression Framework. PhD thesis, Universitaet Bielefeld, 2000. [WWW]
- P. Meinicke and H. Ritter. Topographic Local PCA Maps. In H. Bothe and R. Rojas, editors, Proceedings of the ICSC Symposia on Neural Computation, Berlin, 2000.
- T. Hermann, P. Meinicke, and H. Ritter. Principal Curve Sonification. In P. R Cook, editor, Proc. of the Int. Conf. on Auditory Display, pages 81--86, 2000. Int. Community for Auditory Display.
- P. Meinicke and H. Ritter. Local PCA Learning with Resolution-Dependent Mixtures of Gaussians. In ICANN99, volume 1, Edinburgh, U.K., pages 497-502, 1999. IEE Conference Publication.