Principal investigators

PD Dr. rer. nat. Dipl.-Ing. Hans A Kestler
Institute of Medical Systems Biology
University of Ulm
Albert-Einstein-Allee 11
89081 Ulm
Phone: 0731-50-24248
hans.kestler(at)uni-ulm.de

Curriculum Vitae

Prof. Dr. med. Christian Buske
Institute of Experimental Cancer Research
University of Ulm
Albert-Einstein-Allee 11
89081 Ulm
Phone: 0731-500-65800
christian.buske(at)uni-ulm.de

Curriculum Vitae

Summary

The steadily increasing amount of data from high-throughput experiments, for example next-generation sequencing, continuously increases the performance requirements for computer architectures that are used for data analysis. In modern computer architectures, these requirements can only be met by an increase in the number of processors. To account for this paradigm shift, we will develop novel parallel algorithms for data analysis. These algorithms will then be directly integrated into the data analysis pipelines that the central project provides for the other projects of the consortium.

Z1

Next generation sequencing facility – Parallel algorithms for robust clustering, classification, and visualization

Publications

H.A. Kestler:

Kestler HA, Lausser L, Lindner W, Palm G. On the fusion of threshold classifiers for categorization and
dimensionality reduction. Computational Statistics. 2011;26(2):321-340.

Maucher M, Schöning U, Kestler H. (2011). Search heuristics and the influence of non-perfect
randomness: examining genetic algorithms and simulated annealing. Computational Statistics.
2011;26(2):303-319.

Meyer LH,* Eckhoff SM,* Queudeville M, Kraus JM, Giordan M, Stursberg J, Zangrando A, Vendramini E, Moricke A, Zimmermann M, Schrauder A, Lahr G, Holzmann K, Schrappe M, Basso G, Stahnke K, Kestler HA, Te Kronnie G, Debatin KM. Early Relapse in ALL Is Identified by Time to Leukemia in NOD/SCID Mice and Is Characterized by a Gene Signature Involving Survival Pathways. Cancer Cell. 2011;19(2):206-17. *Equal contribution.

Müssel C, Lausser L, Maucher M, Kestler HA (2011). Multi-objective parameter selection for classifiers. Journal of Statistical Software, 46(5):1–27, 2012.

Kraus JM, Kestler HA. A highly efficient multi-core algorithm for clustering extremely large datasets.
BMC Bioinformatics. 2010;11:169.

C. Buske

Rawat VP, Arseni N, Ahmed F, Mulaw MA, Thoene S, Heilmeier B, Sadlon T, D'Andrea RJ, Hiddemann W, Bohlander SK, Buske C*, Feuring-Buske M*. The vent-like homeobox gene VENTX promotes human myeloid differentiation and is highly expressed in acute myeloid leukemia. Proc Natl Acad Sci U S A. 2010;107:16946-51.*both authors contributed equally

Petropoulos K, Arseni N, Schessl C, Stadler CR, Rawat VPS, Deshpande AJ, Heilmeier B, Hiddemann W, Quintanilla-Martinez L, Bohlander SK, Feuring-Buske M, Buske C. A novel role for Lef-1 as a central transcription mediator of Wnt signalling in leukemogenesis. J Exp Med. 2008;17;205:515-22.

Deshpande AJ, Cusan M, Rawat VP, Reuter H, Krause A, Pott C, Quintanilla-Martinez L, Kakadia P,  Kuchenbauer F, Ahmed F, Delabesse E, Hahn M, Lichter P, Kneba M, Hiddemann W, Macintyre E, Mecucci C, Ludwig WD, Humphries RK, Bohlander SK, Feuring-Buske M, Buske C. Acute myeloid leukemia is propagated by a leukemic stem cell with lymphoid characteristics in a mouse model of CALM/AF10-positive leukemia. Cancer Cell. 2006;10:363-374.

Schessl C, Rawat VP, Cusan M, Deshpande A, Kohl TM, Rosten PM, Spiekermann K, Humphries RK, Schnittger S, Kern W, Hiddemann W, Quintanilla-Martinez L, Bohlander SK, Feuring-Buske M*, Buske C*. The AML1-ETO fusion gene and the FLT3 length mutation collaborate in inducing acute leukemia in mice. J Clin Invest. 2005;115:2159-2168. *Both authors contributed equally

Rawat VP, Cusan M, Deshpande A, Hiddemann W, Quintanilla-Martinez L, Humphries RK, Bohlander SK, Feuring-Buske M, Buske C. Ectopic expression of the homeobox gene Cdx2 is the transforming event in a mouse model of t(12;13)(p13;q12) acute myeloid leukemia. Proc Natl Acad Sci U S A. 2004;101:817-822.