Personal profile

Ancillary activities

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

Last mutation Ancillary Activities: Amsterdam (2014-01-24)

Personal information

Research

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.

Interests

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

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Research Output 2005 2017

  • 29 Article
  • 4 Chapter
  • 2 PhD Thesis - Research VU, graduation VU
  • 1 Conference contribution

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

Introduction to Protein Structure Prediction

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

Research output: Scientific - peer-reviewChapter

File

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
File

Multiple sequence alignment

Bawono, P., Dijkstra, M., Pirovano, W., Feenstra, A., Abeln, S. & Heringa, J. 2017 Methods in Molecular Biology: Volume I: Data, Sequence Analysis, and Evolution. Humana Press Inc, Vol. 1525, p. 167-189 23 p. (Methods in Molecular Biology; vol. 1525)

Research output: Scientific - peer-reviewChapter

Strategies for protein structure model generation

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

Research output: Scientific - peer-reviewChapter

File