Dr. Alena van Bömmel

Dr. Alena van Bömmel



Scientific Interests

  • Co-occupancy of Transcription Factors on Regulatory Elements
  • Rank based Statistics
  • Cell-type Specific Gene Regulation
  • Applications of Multivariate Statistics in Natural Science



  • 2002: Prediploma in Mathematics at the Charles University of Prague (Czech Republic)
  • 2005: B.Sc. in Statistics at Humboldt-Universität zu Berlin (Germany)
  • 2007: M.Sc. in Statistics at Humboldt-Universität zu Berlin (Germany)
  • 2008-09: Research and Teaching Assistant at the Chair of Statistics, Humboldt-Universität zu Berlin (Germany)
  • Oct 2009 - Jul 2014: PhD studies at the IMPRS-CBSC supervised by Prof. Dr. Martin Vingron
  • Feb 2015 Dissertation: Prediction of transcription factor co-occurrence using rank based statistics
  • Since Mar 2015: Postdoctoral Researcher at the MPIMG, Computational Biology Department and Teaching Assistant at Freie Universität Berlin


  • H Hu et al. (2015). X-exome sequencing of 405 unresolved families identifies seven novel intellectual disability genes. Mol Psychiatry, [epub ahead of print]
  • A van Bömmel et al. (2014) Risk patterns and correlated brain activities. Multidimensional statistical analysis of FMRI data in economic decision making study. Psychometrika, 79 (3): 489-514
  • F van Bömmel et al. (2014) Serum hepatitis B virus RNA levels as an early predictor of HBeAg seroconversion during treatment with polymerase inhibitors. Hepatology, 61 (1): 66-76
  • MT Weirauch et al. (2013) Evaluations of methods for modeling transcription factor sequence specificity. Nat Biotechnol., 31 (2):126-34
  • MG Schimek, A Myšičková, E Budinská (2012). An inference and integration approach for the consolidation of ranked lists. Communications in Statistics - Simulation and Computation, 41 (7): 1152-1166
  • A Myšičková, M Vingron (2012). Detection of interacting transcription factors in human tissues using predicted DNA binding affinity. BMC Genomics, 13 Suppl 1: S2
  • MI Love, A Myšičková, R Sun, V Kalscheuer, M Vingron, SA Haas (2011). Modeling read counts for CNV detection in exome sequencing data. Statistical Applications in Genetics and Molecular Biology, 10 (1): 52
  • W Härdle, A Myšičková (2009). "Numerics of Implied Binomial Trees" in W Härdle, N Hautsch and L Overbeck. Applied Quantitative Finance, 2nd edition, Springer-Verlag, Berlin, Heidelberg
  • M.Sc. thesis at the Humboldt-Universität zu Berlin, 2007. "Stochastische Bevölkerungsvorausberechnung für Deutschland und ihre Bedeutung für ein zukünftiges Rentenmodell"
  • B.Sc. thesis at the Humboldt-Universität zu Berlin, 2005. "Modellierung der Salmonella-Prävalenz bei Hähnchen"



Organisationseinheit (Abteilung, Gruppe, Einrichtung):

  • Abteilung Vingron
Zur Redakteursansicht