Prof. Bernhard Haubold


I trained as an evolutionary biologist (Haubold et al., 1998, 2002), and after years in the lab, high performance computing has been my main research tool for over fifteen years now. Recently I have worked on algorithms for fast sequence comparison, population genetics, and mouse epigenetics. In algorithmics we developed a program for computing accurate evolutionary distances between up to thousands of bacterial strains from their full genome sequences (Haubold et al., 2015). In population genetics I contributed to a method for quantifying recombination from the genomes of single vertebrate individuals (Lynch et al., 2014). Our epigenetics work was centered on quantifying the plasticity of the histone modification H3K4me3 across the genome of wild house mice in response to mild environmental stress (Börsch-Haubold et al., 2014).

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Prof. Bernhard Haubold

Max Planck Institute for Evolutionary Biology, Plön

Tel.: +49 (0) 4522 763 276
Email | homepage


Selected Publications

  • Börsch-Haubold AG, Montero I, Konrad K, Haubold B (2014) Genome-Wide Quantitative Analysis of Histone H3 Lysine 4 Trimethylation in Wild House Mouse Liver: Environmental Change Causes Epigenetic Plasticity. PLOS ONE 9(5):e97568.
  • Haubold B, Klötzl F, Pfaffelhuber P (2014) andi: Fast and accurate estimation of evolutionary distances between closely related genomes. Bioinformatics 31(8):1169-1175.
  • Lynch M, et al. (2014) Genome-Wide Linkage-Disequilibrium Profiles from Single Individuals. Genetics 198(1):269–281.
  • Haubold B, Kroymann J, Ratzka A, Mitchell-Olds T, Wiehe T (2002) Recombination and Gene Conversion in a 170-kb Genomic Region of Arabidopsis thaliana. Genetics 161(3):1269–1278.
  • Haubold B, Travisano M, Rainey PB, Hudson RR (1998) Detecting Linkage Disequilibrium in Bacterial Populations. Genetics 150(4):1341–1348.