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.
2004: Member of the German Academy of Natural Scientists Leopoldina
2004: Max Planck Research Award for International Cooperation ("Max Planck Forschungspreis") in Bioinformatics (together with Gene Myers)
2001: Awarded Honorary Professor, Free University of Berlin, Dept. of Mathematics and Computer Science
2000: Scientific Member of the Max-Planck-Society
Göke J, Jung M, Behrens S, Chavez L, O'Keeffe S, Timmermann B, Lehrach H, Adjaye J, Vingron M.Combinatorial binding in human and mouse embryonic stem cells identifies conserved enhancers active in early embryonic development.
PLoS Comput Biol.2011 Dec;7(12):e1002304. Epub 2011 Dec 22.
Thomas-Chollier M, Hufton A, Heinig M, O'Keeffe S, Masri NE, Roider HG, Manke T,Vingron M. Transcription factor binding predictions using TRAP for the analysis of ChIP-seq data and regulatory SNPs.
Nat Protoc. 2011 Nov 3;6(12):1860-9.
Manke T, Heinig M, Vingron M. Quantifying the effect of sequence variation on regulatory interactions.
Hum Mutat. 2010 Apr;31(4):477-83.
Karlić R, Chung HR, Lasserre J, Vlahovicek K, Vingron M. Histone modification levels are predictive for gene expression.
Proc Natl Acad Sci U S A. 2010 Feb 16;107(7):2926-31. Epub 2010 Feb 1.
Roider HG, Lenhard B, Kanhere A, Haas SA, Vingron M. CpG-depleted promoters harbor tissue-specific transcription factor binding signals--implications for motif overrepresentation analyses.
Nucleic Acids Res. 2009 Oct;37(19):6305-15.