Dr. Carsten Henneges


  • Oct, 2001 - Oct, 2006: Studies of Bioinformatics at the University of Tübingen
  • since November 2006: Research assistant at the center for bioinformatics (ZBIT), University of Tübingen


Research Interests

  • machine learning
  • ranking algorithms
  • feature selection
  • graph algorithms
  • graphical visualization
  • statistical data analysis


Current Projects

  • proteomics data analysis
  • metabolomics data analysis



  • Predicting DNA-Binding Specificities of Eukaryotic Transcription Factors
    A. Schröder, J. Eichner, J. Supper, J. Eichner, D. Wanke, C. Henneges, A. Zell, Plos ONE, 2010, [PDF]
  • A factorization method for the classification of infrared spectra
    C. Henneges, P. Laskov, E. Darmawan, J. Backhaus, B. Kammerer, A. Zell, BMC Bioinformatics, 2010, [PDF]
  • Graphlet data mining of energetical interaction patterns in protein 3D structures
    C. Henneges, M. Röttig, O. Kohlbacher, A. Zell, ICNC, 2010, [PDF]
  • Probabilistic Modeling of Conformational Space for 3D Machine Learning Approaches
    A. Jahn, G. Hinselmann, N. Fechner, C. Henneges, A. Zell, Molecular Informatics, 2010, [PDF]
  • Optimal de novo design of MRM experiments for rapid assay development in targeted proteomics
    A. Bertsch, S. Jung, A. Zerck, N. Pfeifer, S. Nahnsen, C. Henneges, A. Nordheim, O. Kohlbacher, Journal of Proteome Research, 2010, [PDF]
  • Ranking Methods for the Prediction of Frequent Top Scoring Peptides from Proteomics Data
    C. Henneges, G. Hinselmann, S. Jung, J. Madlung, W. Schütz, A. Nordheim, A. Zell, Journal of Proteomics and Bioinformatics, 2009,[PDF]
  • Prediction of breast cancer by profiling of urinary RNA metabolites using SVM-based feature selection
    C. Henneges, D.Bullinger, R. Fux, N. Friese, H. Seeger, H. Neubauer, S. Laufer, C.H. Gleiter, M. Schwab, A. Zell, B. Kammerer, BMC Cancer, 2009, [PDF]
  • An Artificial T cell Immune System for predicting MHC-II binding peptides
    C. Henneges, S. Huster, A.Zell, IEEE SSCI, 2009
  • Modelling Tsunami Vulnerability: The Development of a Tsunami Inundation Model with Machine Learning Tools
    T. Häring, M. de Paly, C. Henneges, V. Hochschild, Digital Earth Summit on Geoinformatics, 2008
  • Bioinformatical evaluation of modified nucleosides as biomedical markers in diagnosis of breast cancer
    D. Bullinger, H. Fröhlich, F. Klaus, H. Neubauer, A. Frickenschmidt, C. Henneges, A. Zell, S. Laufer, C. Gleiter, H. Liebich, B. Kammerer, Analytica Chimica Acta, 2008, [PDF]


  • A machine learning approach for ranking of proteotypic peptides for MS
    C. Henneges, G.Hinselmann, J. Madlung, S. Jung, T. Lamkemeyer, A. Nordheim, A.Zell, Hupo 2008

Data and Software

Office hours

Here my office hours at Sand 1, room A316
  • Monday-Friday, 10 a.m. to 18 p.m


  • Algorithmen zur Graphmustersuche für das Netzwerkanalysetool BiNA
    Universität Tübingen, 2006, [PDF]


Address, Phone, Fax, E-mail

Eberhard-Karls-Universität Tübingen
Wilhelm-Schickard-Institut für Informatik
Lehrstuhl Rechnerarchitektur
Sand 1
D - 72076 Tübingen

Tel: +49-7071-29-77 17 5
Fax: +49-7071-29-50 91
eMail: carsten henneges (at) gmx de