Max Planck Institute for Molecular Genetics
Department of Computational Molecular Biology
Head
Mailing address:
Max Planck Institute for Molecular Genetics
Department Computational Molecular Biology
Ihnestrasse 69-73
D-14195 Berlin, Germany
Visiting address:
Max Planck Institute for Molecular Genetics
Department Computational Molecular Biology
Tower 4: 2.009 T4
Ihnestrasse 69-73
D-14195 Berlin, Germany
Phone: +49-30-8413-1166
Fax: +49-30-8413-1176
E-mail: alexander.schliep@molgen.mpg.de
Alexander Schliep received the PhD degree in computer science from the Center for Applied Computer Science at the University of Cologne, Germany (2001), working in collaboration with the Theoretical Biology and Biophysics Group (T-10) at Los Alamos National Laboratory. Since 2002 he has been a group leader of the Bioinformatics Algorithms Group in the Department for Computational Biology at the Max Planck Institute for Molecular Genetics in Berlin. The research interests pursued in his group include data mining, statistical models, and algorithms for analyzing complex and heterogeneous data from molecular biology.
He will be joining Rutgers University as an associate professor in August 2009. The position is jointly between the Department of Computer Science and the BioMaPS Institute for Quantitative Biology
July 2, 2008. Detecting functional modules in heterogeneous biological data . Invited Talk at Institute of Genetics and Molecular and Cellular Biology, Strasbourg
May 1, 2008. Algorithms for the Design of DNA Microarrays. Invited Talk at Department of Computer Science, Rutgers University
April 30, 2008. Detecting functional modules from heterogenous mass data. Invited Talk at BioMaps Institute for Quantitative Biology, Rutgers University
April 4, 2008. Detecting functional modules from heterogenous mass data. Invited Talk at College of Computing, Georgia Tech
April 3, 2008. Detecting functional modules from heterogenous mass data. Invited Talk at The Volgenau School of Information Technology and Engineering, George Mason University
B. Georgi, I. Gesteira Costa, and I. Schliep PyMix - The Python mixture package - a tool for clustering of heterogeneous biological data. BMC Bioinformatics 2010, Vol. 11, Number 9
W. Hochstättler and A. Schliep CATBox – An Interactive Course in Combinatorial Optimization. , Springer 2010
I. G. Costa, A. Schönhuth, C. Hafemeister, and A. Schliep Constrained Mixture Estimation for Analysis and Robust Classification of Clinical Time Series. (ISMB 2009) Bioinformatics 2009, Vol. 12, Number 25, Pages i6-14
B. Georgi, J. Schultz, and A. Schliep Partially-supervised protein subclass discovery with simultaneous annotation of functional residues. BMC Struct Biol. 2009, Vol. 9, Number 68
M. C. P. de Souto, D. A. S. Araujo, I. G. Costa , R. G. F. Soares, T. B. Ludermir, and A. Schliep Comparative Study on Normalization Procedures for Cluster Analysis of Gene Expression Datasets. Proceedings of the International Joint Conference on Neural Networks, IEEE Computer Society, 2008
GenExpTimecourses: Analysis of gene expression time-courses.
ArrayCGH: Analyzing comparative genomic hybridization data.
Tiling: Design of Tiling Arrays.
MicrorarrayDetection: Detecting biological agents with DNA Micorarray.
HomologyClassification: Detecting remote homologs as a classification problem.
RemoteHomologues: Identifying clusters of remote homologues.
GHMM: General Hidden Markov Model library .
Gato: Graph Animation Toolbox.
MCPD: Markov Chain Pooling Decoder.