Niko Beerenwinkel: Katalogdaten im Herbstsemester 2024 |  |
| Name | Herr Prof. Dr. Niko Beerenwinkel |
| Lehrgebiet | Rechnergestützte Biologie |
| Adresse | Professur f. Computational Biology ETH Zürich, BSS G 57.2 Klingelbergstrasse 48 4056 Basel SWITZERLAND |
| Telefon | +41 61 387 31 69 |
| niko.beerenwinkel@bsse.ethz.ch | |
| URL | http://www.bsse.ethz.ch/cbg/people/nikob |
| Departement | Biosysteme |
| Beziehung | Ordentlicher Professor |
| Nummer | Titel | ECTS | Umfang | Dozierende | |||||||||||||||||||||||
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| 636-0009-00L | Evolutionary Dynamics | 6 KP | 2V + 1U + 2A | N. Beerenwinkel | |||||||||||||||||||||||
| Kurzbeschreibung | Evolutionary dynamics is concerned with the mathematical principles according to which life has evolved. This course offers an introduction to mathematical modeling of evolution, including deterministic and stochastic models, with an emphasis on tumor evolution. | ||||||||||||||||||||||||||
| Lernziel | The goal of this course is to understand and to appreciate mathematical models and computational methods that provide insight into the evolutionary process in general and tumor evolution in particular. Students should analyze and evaluate models and their application critically and be able to design new models. | ||||||||||||||||||||||||||
| Inhalt | Evolution is the one theory that encompasses all of biology. It provides a single, unifying concept to understand the living systems that we observe today. We will introduce several types of mathematical models of evolution to describe gene frequency changes over time in the context of different biological systems, focusing on asexual populations. Viruses and cancer cells provide the most prominent examples of such systems and they are at the same time of great biomedical interest. The course will cover some classical mathematical population genetics and population dynamics, and also introduce several new approaches. This is reflected in a diverse set of mathematical concepts which make their appearance throughout the course, all of which are introduced from scratch. Topics covered include the quasispecies equation, evolution of HIV, evolutionary game theory, evolutionary stability, evolutionary graph theory, tumor evolution, stochastic tunneling, genetic progression of cancer, diffusion theory, fitness landscapes, branching processes, and evolutionary escape. | ||||||||||||||||||||||||||
| Skript | No. | ||||||||||||||||||||||||||
| Literatur | - Evolutionary Dynamics. Martin A. Nowak. The Belknap Press of Harvard University Press, 2006. - Evolutionary Theory: Mathematical and Conceptual Foundations. Sean H. Rice. Sinauer Associates, Inc., 2004. | ||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | Prerequisites: Basic mathematics (linear algebra, calculus, probability) | ||||||||||||||||||||||||||
Kompetenzen |
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| 636-0704-00L | Computational Biology and Bioinformatics Seminar  Number of participants limited to 30. The seminar is addressed primarily at students enrolled in the MSc CBB programme. Students of other ETH study programmes interested in this course need to ask the lecturer for permission to enrol in the course. The Seminar will be offered in autumn semester in Basel (involving professors and lecturers from the University of Basel) and in spring semester in Zurich (involving professors and lecturers from the University of Zurich). Professors and lecturers from ETH Zurich are involved in both semesters. Uni Basel lecturers: Richard Neher, Attila Becskei, Mihaela Zavolan, Erik van Nimwegen | 2 KP | 2S | N. Beerenwinkel, D. Iber, T. Stadler | |||||||||||||||||||||||
| Kurzbeschreibung | Computational Biology und Bioinformatik analysieren lebende Systeme mit Methoden der Informatik. Das Seminar kombiniert Präsentationen von Studierenden und Forschenden, um das sich schnell entwickelnde Gebiet aus der Informatikperspektive zu skizzieren. Themenbereiche sind Sequenzanalyse, Proteomics, Optimierung und Bio-inspired computing, Systemmodellierung, -simulation und -analyse. | ||||||||||||||||||||||||||
| Lernziel | Studying and presenting fundamental papers of Computational Biology and Bioinformatics. Learning how to make a scientific presentation and how classical methods are used or further developed in current research. | ||||||||||||||||||||||||||
| Inhalt | Computational biology and bioinformatics aim at advancing the understanding of living systems through computation. The complexity of these systems, however, provides challenges for software and algorithms, and often requires entirely novel approaches in computer science. The aim of the seminar is to give an overview of this rapidly developing field from a computer science perspective. In particular, it will focus on the areas of (i) DNA sequence analysis, sequence comparison and reconstruction of phylogenetic trees, (ii) protein identification from experimental data, (iii) optimization and bio-inspired computing, and (iv) systems analysis of complex biological networks. The seminar combines the discussion of selected research papers with a major impact in their domain by the students with the presentation of current active research projects / open challenges in computational biology and bioinformatics by the lecturers. Each week, the seminar will focus on a different topic related to ongoing research projects at ETHZ, University of Basel and University of Zurich, thus giving the students the opportunity of obtaining knowledge about the basic research approaches and problems as well as of gaining insight into (and getting excited about) the latest developments in the field. | ||||||||||||||||||||||||||
| Literatur | Original papers to be presented by the students will be provided in the first week of the seminar. | ||||||||||||||||||||||||||