Martin-Luther-Universität Halle-Wittenberg


Login für Redakteure



G. Bethke, T. Unthan, J.F. Uhrig, Y. Pöschl, A.A. Gust, D. Scheel, and J. Lee. Flg22 regulates the release of an ethylene response factor substrate from MAP kinase 6 in Arabidopsis thaliana via ethylene signaling. Proceedings of the National Academy of Sciences, 106(19):8067--8072, 2009.

C. Delker*, Y. Pöschl*, A. Raschke, K. Ullrich, S. Ettingshausen, V. Hauptmann, I. Grosse, and M. Quint. Natural variation of transcriptional auxin response networks in Arabidopsis thaliana. The Plant cell, 22(7):2184--2200, 2010.

S. Ranf, J. Grimmer, Y. Pöschl, P. Pecher, D. Chinchilla, D. Scheel, and J. Lee. Defense-Related Calcium Signaling Mutants Uncovered via a Quantitative High-Throughput Screen in Arabidopsis thaliana. Molecular Plant, 5(1):115--130, 2012.

Y. Poeschl, C. Delker, J. Trenner, K.K. Ullrich, M. Quint, and I. Grosse. Optimized probe masking for comparative transcriptomics of closely related species. (submitted)

*Both authors contributed equally.


Short Paper

Y. Pöschl, C. Böttcher, S. Clemens, D. Scheel, S. Posch, and S. Neumann. Analysis of metabolite relations in LCMS data using Bayesian networks. German Conference on Bioinformatics 2006, Thübingen, 2006.


Y. Pöschl and S. Neumann. A scale-free structure prior for  learning Bayesian networks from metabolomics data. German Conference on  Bioinformatics 2007, Potsdam, 2007.

Y. Pöschl, C. Böttcher, S.  Neumann, S. Posch, and I. Grosse. Normalization of Metabolomics Data  using Bayesian Networks. German Conference on Bioinformatics 2008,  Dresden, 2008.

Y. Pöschl, C. Delker, M. Quint, and I. Grosse.  Using micro arrays to detect natural variation in hormone induced  expression changes. German Conference on Bioinformatics 2009, Halle  (Saale), 2009.

Y. Pöschl, C. Delker, J. Gentkow, M. Quint, and I.  Grosse. Comparative transcriptomics of Arabidopsis thaliana and  Arabidopsis lyrata. German Conference on Bioinformatics 2012, Jena,  2012.

Zum Seitenanfang