Biostatistics Weekly Seminar

Computational analysis of tumor single-cell sequencing data

Niko Beerenwinkel, PhD
Professor of Computational Biology
Dept. of Biosystems Science and Engineering at ETH Zurich

Cancer progression is an evolutionary process characterized by the accumulation of genetic alterations and responsible for tumor growth, clinical progression, and drug resistance development. We discuss how to reconstruct the evolutionary history of a tumor from single-cell sequencing data and present probabilistic models and efficient inference algorithms for mutation calling and learning tumor phylogenies from mutation and copy number data. We present methods for integrating single-cell DNA and RNA data obtained from tumor biopsies and for detecting common patterns of tumor evolution among patients, including re-occurring evolutionary trajectories and clonally exclusive mutations.

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02 November 2022

Speaker Itinerary

Topic revision: r1 - 31 Oct 2022, JenaAltstatt

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