Prof. Dr. Ingo Ebersberger, ebersberger@bio.uni-frankfurt.de, Phone +49 69 798 - 42112
Module information
Biological
sequences dominate the data basis for evolutionary analyses. The improvement of
high-throughput DNA sequencing methodologies meanwhile result in the
availability of comprehensive genetic and genomic sequence information for organisms
even from the remotest corner of the tree of life. Full exploitation of the
information content of this data and correct interpretations are inextricably
linked to three questions: How does one process, organise and analyse data sets
from high-throughput DNA sequencing? How do DNA sequences and the proteins
encoded therein change over time, and what can be learned about their
evolutionary history from comparing present-day sequences? And finally, what
assumptions and (evolutionary) concepts underlie common bioinformatic sequence
analysis algorithms, and how can these influence the outcome of an analysis?
This module
will use the assembly and analysis of a small eukaryotic genome as an example
to answer these three questions. Unfortunately, it is always a little difficult
to estimate how close one's own reconstructions and conclusions come to the
actual truth in bioinformatics. To get around this shortcoming and get a better
'feel' for the data and the analysis results, we will support our work on real
sequence datasets with parallel analyses of simulated datasets. The practical
work will be accompanied by lectures and a seminar in which the theoretical
basics will be taught and deepened.
Start of the module- first half of the winter semester
Number
of places available-
10
Special features - In consultation with the students, the module can be conducted entirely or partially in English.
Dr. Sabrina Schiwy
Biologicum, Campus Riedberg
Flügel C, Raum3.318
Max-von-Laue-Str. 13
60438 Frankfurt am Main
F +49 69 798-42173
Office hour:
by arrangement
E-Mail schiwy@bio.uni-frankfurt.de
Sandra Luckert
Biozentrum, Campus Riedberg
Gebäude N 101, Raum 1.07
Max-von-Laue-Str. 9
60438 Frankfurt am Main
T +49 69 798-46475
F +49 69 798-46470
Office hours:
Tuesday and thursday from 12-14 o'clock and by arrangement
E-Mail pabio2@bio.uni-frankfurt.de