Dagmar Iber: Katalogdaten im Frühjahrssemester 2020

NameFrau Prof. Dr. Dagmar Iber
LehrgebietRechnergestützte Biologie
Adresse
Professur f. Computational Biology
ETH Zürich, D-BSSE, BSD G 204.2
Mattenstrasse 26
4058 Basel
SWITZERLAND
Auszeichnung: Die Goldene Eule
Telefon+41 61 387 32 10
E-Maildagmar.iber@bsse.ethz.ch
URLhttp://www.bsse.ethz.ch/cobi
DepartementBiosysteme
BeziehungAusserordentliche Professorin

NummerTitelECTSUmfangDozierende
636-0301-00LCurrent Topics in Biosystems Science and Engineering2 KP1SR. Platt, N. Beerenwinkel, Y. Benenson, K. M. Borgwardt, P. S. Dittrich, M. Fussenegger, A. Hierlemann, D. Iber, M. H. Khammash, D. J. Müller, S. Panke, S. Reddy, T. Schroeder, T. Stadler, J. Stelling, B. Treutlein, C. Uhler
KurzbeschreibungThis seminar will feature invited lectures about recent advances and developments in systems biology, including topics from biology, bioengineering, and computational biology.
LernzielTo provide an overview of current systems biology research.
InhaltThe final list of topics will be available at http://www.bsse.ethz.ch/education/.
636-0704-00LComputational Biology and Bioinformatics Seminar2 KP2SJ. Stelling, D. Iber, M. H. Khammash, J. Payne, T. Stadler, C. Uhler
KurzbeschreibungComputational 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.
LernzielStudying 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.
InhaltComputational 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, 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.
LiteraturOriginal papers to be presented by the students will be provided in the first week of the seminar.