Martin Vingron is a mathematician by education who has done his PhD in computational biology at EMBL in 1991. At the time and for a number of years of postdoctoral training his research has focused on the analysis of protein sequences, sequence analysis, sequence comparison, and molecular evolution. Methods of discrete optimisation were used for the design of comparison algorithms and probability theory was applied to answer questions of significance of computational results. Later, as a department head at the German Cancer Research Center, his focus shifted towards the processing and mathematical analysis of DNA microarrays. Accordingly, the methods largely drew on statistical data analysis techniques. During the last years his research interest lies in utilizing gene expression data as well as evolutionary data for the elucidation of gene regulatory mechanisms. He also acts as a member of the RECOMB (Research in Computational Molecular Biology) steering committee.
For further information see group's homepage
http://cmb.molgen.mpg.de
Honors
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2004: Member of the German Academy of Natural Scientists Leopoldina
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2004: Max Planck Research Award for International Cooperation ("Max Planck Forschungspreis") in Bioinformatics (together with Gene Myers)
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2001: Awarded Honorary Professor, Free University of Berlin, Dept. of Mathematics and Computer Science
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2000: Scientific Member of the Max-Planck-Society
Selected Publications
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Dieterich C, Rahmann S, Vingron M (2004). Functional inference from non-random distributions of conserved predicted transcription factor binding sites. Bioinformatics 20 (Suppl.1) 2004: i109-i115 (Proceedings of ISMB 2004)
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Manke T, Bringas R, Vingron M (2003). Correlating Protein-DNA and Protein-Protein Interaction Networks. J Mol Biol 333:75-85
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Huber W, Heydebreck A v, Vingron M (2003). Analysis of microarray gene expression data. In: Handbook of Statistical Genetics, Wiley, 2nd Edition, Vol 1, 162 – 187
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Fellenberg K, Hauser N, Brors B, Neutzner A, Hoheisel J, Vingron M (2001). Correspondence Analysis Applied to Microarray Data. Proc Natl Acad Sci USA 98, 10781-10786
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Müller T, Vingron M (2000). Modeling amino acid replacement. J Computat Biol 7(6), 761-776