530034 SE SE Advanced Algorithms in RNA Research (2023W)
Continuous assessment of course work
Labels
Registration/Deregistration
Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).
- Registration is open from Mo 04.09.2023 08:00 to Fr 20.10.2023 23:59
- Registration is open from We 25.10.2023 14:00 to Tu 31.10.2023 23:59
- Deregistration possible until Tu 31.10.2023 23:59
Details
max. 15 participants
Language: German, English
Lecturers
Classes
we will set the exact dates for meeting mid October.
Information
Aims, contents and method of the course
Assessment and permitted materials
Joint project to implement, test, and apply an algorithmic development
Minimum requirements and assessment criteria
Consistent active participation
Examination topics
N/A
Reading list
https://academic.oup.com/bioinformatics/article/22/5/614/205542bitte github account anlegen und userid an mich emailen, damit ich die Teilnehmer einladen kann.
Association in the course directory
Doktorat, Freie Wahlfächer und Transferable Skills, BC-Wahl, CH-FE, EF1-3
Last modified: We 25.10.2023 13:28
an unfeasibly long time. Moreover, most computational models of protein
folding are known to be NP-hard, essentially excluding the existence for
an efficient short-cut that would serve ALL amino-acid sequences. The
solution of this conundrum is that evolution does not care about all
sequences, but only the subset that "make sense", in particular those that
find their groundstate with the algorithm at hand, namely an essentially local
"greedy" dynamics defined by physics. Goal of this year's course will to
develop an understanding the interplay algorithm, instance set, and
evolution using a simple RNA secondary model as example.