Personal profile

Ancillary activities

  • Stichting Prelude Foundation | Amsterdam | Penningmeester | 2010-02-15

Ancillary activities are updated daily

Personal information


My research generally involves integrating, modelling and learning from data that has been derived from several sources ranging from high-throughput molecular profiling techniques to atomic force spectroscopy measurements. My focus lies both on mining quantitative data from heterogeneous sources effectively, and modelling such data within the given physical constraints.


  • Bioinformatics
  • Computational biophysics
  • Data science
  • Protein thermodynamics
  • Mining quantitative data

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Research Output 2005 2018

  • 33 Article
  • 5 Chapter
  • 2 PhD Thesis - Research VU, graduation VU
  • 1 Conference contribution

Preface to Introduction to Structural Bioinformatics

Feenstra, K. A. & Abeln, S. 29 Jan 2018 Introduction to Structural Bioinformatics.

Research output: ScientificChapter


Detection of structural variants and recurrent breakpoint genes in colorectal adenoma-to-carcinoma progression

van den Broek, E., Dijkstra, M. J. J., Voorham, Q. J. M., Carvalho, B., van de Wiel, M. A., Abeln, S., Meijer, G. A. & Fijneman, R. J. A. Feb 2017 In : Cancer Research. 77

Research output: ScientificArticle

GeneBreak: Detection of recurrent DNA copy number aberration-associated chromosomal breakpoints within genes

Fijneman, R. J. A., van den Broek, E., van Lieshout, S., Rausch, C., Ylstra, B., van de Wiel, M. A., Meijer, G. A. & Abeln, S. 2017 In : F1000Research. 5, 2340

Research output: Scientific - peer-reviewArticle

Introduction to Protein Structure Prediction

Abeln, S., Heringa, J. & Feenstra, K. A. 1 Dec 2017 (Submitted) Introduction to Structural Bioinformatics.

Research output: Scientific - peer-reviewChapter


Making sense of our microbes as they become data in our computers

May, A. 2017 94 p.

Research output: ScientificPhD Thesis - Research VU, graduation VU

Open Access