Regensburg 2019 – scientific programme
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BP: Fachverband Biologische Physik
BP 12: Poster II
BP 12.73: Poster
Tuesday, April 2, 2019, 14:00–16:00, Poster B2
A classification scheme for clustering and identification of DNA events through a nanopore — •Ángel Díaz Carral1, Chandra Shekar Sarap1, Ke Liu2, Aleksandra Radenovic2, and Maria Fyta1 — 1Institute for Computational Physics, Universität Stuttgart, Allmandring 3, 70569 Stuttgart, Germany — 2Institute of Biotechnology, Ecole Polytechnique Federale de Lausanne (EPFL), CH-1015 Lausanne, Switzerland
DNA molecules can electrophoretically be driven through a nanoscale opening in a material giving rise to measurable electronic current blockades important for DNA sensing. In this work, we propose a methodological approach to interpret nanopore events based on experimental ionic current data of DNA homopolymers through molybdenum-disulphide nanopores. Experimental ionic traces are used to train an unsupervised Machine Learning model for identifying molecular events related to different conformations of DNA molecules threading the nanopore. We have tested different features for the classification of the translocation events, and conclude on the efficiency of using the current blockade height for classification. This allows us to indeed distinguish folded over unfolded DNA events through the pore. We discuss the impact of such a scheme in sensing the identity of DNA with a nanopore.