Jürgen Claesen

Research

My research is focused on the development of statistical and computational methods for high-throughput biological experiments (such as sequencing and mass spectrometry), and for structural biology.

 

Selected publications

 

  • Górczak, K., Claesen, J., Burzykowski, T. A Conceptual Framework for Abundance Estimation of Genomic Targets in the Presence of Ambiguous Short Sequencing Reads. Journal of Computational Biology. 2019, 26 (12).

  • Kazakiewicz, D., Claesen, J., Górczak, K., Plewczynski, D., Burzykowski, T.  A Multivariate Negative-Binomial Model with Random Effects for Differential Gene-Expression Analysis of Correlated mRNA Sequencing Data. Journal of Computational Biology. 2019, 27 (8).
  • Claesen, J., Valkenborg, D. Burzykowski, T. De novo prediction of the elemental composition of peptides and proteins based on a single mass. Journal of Mass Spectrometry. 2019 (doi:10.1002/jms.4367)
  • Claesen, J., Burzykowski, T. Computational methods and challenges in hydrogen/deuterium exchange mass spectrometry. Mass spectrometry reviews. 2017, 36 (5)

 

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