Prof. Dr. Martin Vingron - Computational Molecular Biology
- 1985 Diploma in Mathematics, University of Vienna, Austria
- 1991 Doctorate in Mathematics, University of Heidelberg and EMBL, Germany
- 1995-09/2000 Head of the Theoretical Bioinformatics department at the German Cancer Research Center
(Deutsches Krebsforschungszentrum DKFZ) Heidelberg - 10/2000-present Director and head of the Computational Molecular Biology department at Max Planck Insitute
for Molecular Genetics, Berlin - 2001 Honorary Professor at the Free University of Berlin
- 2003-present Managing Director Max Planck Institute for Molecular Genetics, Berlin
Research interests
Computational molecular biology
- biological sequence analysis
- sequence comparison
- phylogeny reconstruction
- genome analysis
- microarray data analysis
- transcriptional regulation
- Development of algorithms and statistical methods for molecular biology
Martin Vingron is a mathematician by education who did his PhD in computational biology at EMBL in 1991. At the time
and for a number of years of postdoctoral training his research 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.
For the last years his research interest has been in utilizing gene expression data as well as evolutionary data for the
elucidation of gene regulatory mechanisms.
Recent publications
- J George et al. (2015)
Comprehensive genomic profiles of small cell lung cancer.
Nature, 524 (7563): 47-53 - S Schafer et al. (2015)
Translational regulation shapes the molecular landscape of complex disease phenotypes.
Nat Commun., 6: 7200 - SR Starick et al. (2015)
ChIP-exo signal associated with DNA-binding motifs provides insights into the genomic binding of the glucocorticoid receptor and cooperating transcription factors.
Genome Res., [epub ahead of print] - H Hu et al. (2015)
X-exome sequencing of 405 unresolved families identifies seven novel intellectual disability genes.
Mol Psychiatry, [epub ahead of print] - L Fernandez-Cuesta et al. (2015)
Identification of novel fusion genes in lung cancer using break point assembly of transcriptome sequencing data.
Genome Biol., 16 (1): 7