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Utz Pape
New Website:
Since I started my PostDoc in Oct. 2009 in Boston, I strongly recommend to visit my new website as I won't maintain this one...
Research Interests:
- DNA Motifs: Statistics for DNA Motifs: enrichment, co-occurences, similarity, clustering, and modules. See our website MoSta for solutions of some of these problems.
- Word Counting Approaches: Since many statistics of DNA motifs can be transformed to word counting problems, understanding and extending existing approaches is crucial.
Publications:
- Statistical detection of co-operative transcription factors with
similarity adjustment
Utz J. Pape, Holger Klein and Martin
VingronIn Beyer, A., Schroeder, M. (eds), Lecture Notes in Informatics: Proc. of German Conference on Bioinformatics (GCB), 2008, 96-105, and accepted by
Bioinformatics, 2009. [Try the approach online]
- Statistics for Transcription Factor Binding Sites
PhD Thesis at the Max-Planck-Institute for Molecular Genetics, Free University of Berlin and the International Max-Planck Research School, 2008.
- Statistics for Co-Occurrence of DNA Motifs
Utz J. Pape and
Martin VingronIn Chiquet, J., Glaz, J., Limnios, N., Moyal, P. (eds), Proc. of the International Workshop for Applied
Probability (IWAP), 2008.
- Compound Poisson approximation of DNA motif counts on both
strands
Utz J. Pape, Sven Rahmann, Fengzhu Sun and Martin VingronJournal of Computational Biology, 2008, 15 (6).
- Prediction of cardiac transcription networks based on molecular data and complex clinical phenotypes
M. Toenjes, M. Schueler, S. Hammer, U.J. Pape, J.J. Fischer, F. Berger, M. Vingron and S. SperlingMolecular BioSystems, 2008, 4 (6), 589-598.
- Natural Similarity Measures between Position Frequency Matrices with an Application to Clustering
Utz J. Pape, Sven Rahmann and Martin Vingron
Bioinformatics, 2008, 24 (3), pp. 350 - 357. [Read the article!] [Try the approach online]
- A new statistical model to select target sequences bound by transcription factors
Utz J. Pape, Steffen Grossmann, Stefanie Hammer, Silke Sperling and Martin Vingron
Genome Informatics, 2006, 17 (1), pp. 134 - 140.
- A gene expression map of Arabidopsis
development
Markus Schmid, Timothy S. Davison, Stefan
R. Henz, Utz J. Pape, Monika Demar, Martin Vingron, Bernhard
Schölkopf, Detlef Weigel and Jan U. Lohmann Nature Genetics, 2005, 37 (5), pp. 501 - 506.
- Estimation of Genetic Regulatory Networks with Aggregated Bayesian Networks
Master's thesis at Max-Planck-Institute for Molecular Genetics (Dep. Computational Molecular Biology) and the Free University of Berlin, 2004.
- Differentiation in the tissues of the zebrafish
Bachelor's thesis at Max-Planck-Institute for Molecular Genetics (Dep. Computational Molecular Biology) and the Free University of Berlin, 2003.
Teaching:
Short CV:
I started working for the Max-Planck-Institute for Molecular
Genetics in 2001 at the Lehrach Department. Then, I worked as a
tutor for bioinformatics for the Free University of Berlin until
I changed back to the Max-Planck-Institute to the Department
Computational Biology. In summer 2003, I finished my Bachelor
thesis. The year after, I graduated as Master of
Science. After my visit of the VIB Institute for Plant Systems
Biology in Belgium in summer 2004, I have been employed by
the Free University of
Berlin. Then, I was doing my PhD for
Bioinformatics at the Max-Planck-Institute for Molecular
Genetics with Prof. Dr. Martin Vingron as supervisor. In
addition, I was a student of the International Max-Planck
Research School for Computational Biology and Scientific
Computing in Berlin. After visiting the group of Prof. Fengzhu Sun at the University of Southern California for half a year in 2006, I obtained my PhD in October 2008.
Address
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Utz Pape
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Max Planck Institute for Molecular Genetics
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Email: pape [at] molgen.mpg.de
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Computational Molecular Biology (Abt. Vingron)
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Fon: ++49 (30) 8413-1171
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Ihnestrasse 63-73
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Fax: ++49 (30) 8413-1152
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14195 Berlin, Germany
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Utz Pape
Last modified: Fri Sep 21 07:31:42 CEST 2007
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