Advances in Biosciences Seminar Series - Professor Niko Beerenwinkel, ETH Zurich - Title: "Modeling tumor progression from single-cell sequencing data"
Dates: | 1 April 2025 |
Times: | 13:00 - 14:00 |
What is it: | Seminar |
Organiser: | Faculty of Biology, Medicine and Health |
Who is it for: | University staff |
Speaker: | Professor Niko Beerenwinkel |
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Join the Division of Molecular and Cellular Function (MCF) for the Advances in Biosciences Seminar Series, the speaker is Professor Niko Beerenwinkel, ETH Zurich
Hosted by Dr Magnus Rattray
Title: "Modeling tumor progression from single-cell sequencing data"
Abstract: 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, for detecting signatures of selection pressure in single-cell samples, and for finding common patterns of tumor evolution among patients, including re-occurring evolutionary trajectories and clonally exclusive mutations.
Biography: Niko Beerenwinkel is full professor of computational biology at the Department of Biosystems Science and Engineering of ETH Zurich in Basel. His research is at the interface of mathematics, statistics, and computer science with biology and medicine. It includes the development of statistical models for high-throughput molecular profiling data, network-based analysis of genome-wide perturbation screens, evolutionary modeling, and clinical applications in oncology and infectious diseases. He has developed computational pipelines for molecular tumor boards, including methods for the analysis of single-cell sequencing data, and algorithms and tools for mining viral genomes and improving clinical diagnostics of viruses.
Speaker
Professor Niko Beerenwinkel
Role: Professor
Organisation: ETH Zurich
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Michael Smith Lecture Theatre
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