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Diversity and Dynamics of Genomes (Seminar)


392217 Wittler Winter 2014 Tuesday 14-16 in U10-146ekvv

Course Description

In this seminar, research of the DiDy Group is presented, and other research related topics are discussed. This semester, the faculty will introduce themselves / their research.

Schedule

Date Who/What
7.10. Administratives, Update on our research
14.10. Roland: How I became a Scientific Coordinator and some science that is left behind. Journal screening? Blogs?
21.10. Wiki hands-on (update research page)
28.10. Alexander Sczyrba
4.11. Barbara Hammer
11.11. Benedikt B., Georges, Yoga, Dany, Nina, Benedikt L., … Who are you again? I don't care about your science!
18.11. Markus, Liren, Lu, Tina, Nicole, Linda, …
25.11. Ellen Baake
2.12. Stefan Albaum
9.12. Guest: Michael Barton, JGI
16.12. Xmas market
6.1.
13.1.
20.1.
27.1. Robert Giegerich: “Mind over matter, matter over mind? Encouraging news about Pareto optimization in dynamic programming” (Abstract below)
3.2. Update on our research
?? Tim Nattkemper

Robert Giegerich: "Mind over matter, matter over mind? Encouraging news about Pareto optimization in dynamic programming"

Combinatorial optimization minimizes a “cost” function. When true costs are involved – in terms of money, energy, computation time – it is not a problem to optimize under multiple objectives. True costs simply add up. But what if our objectives are incommensurable:

  • Sequence similarity versus folding energy?
    Preservation of specific motifs versus overall conservation?
    Maximizing similarity versus minimizing partner switching?

Should we choose love over gold, gold over love, or what else?

Pareto optimization avoids the artificial combination of diverse objectives. It gives the best of two worlds in a mathematically strict sense, is safe to use, and has efficient implementations.

teaching/2014winter/didyseminar.txt · Last modified: 2016/05/11 18:32 (external edit)