Module Number

BIOINF4363 (entspricht BIO-4363)
Module Title

RNA Bioinformatics
Lecture Type(s)

Seminar
ECTS 3
Work load
- Contact time
- Self study
Workload:
90 h
Class time:
30 h / 2 SWS
Self study:
60 h
Duration 1 Semester
Frequency Irregular
Language of instruction English
Type of Exam

Oral Presentation (about 30 minutes) and written elaboration (approx. 10 pages), leading the discussion once

Content

In this seminar, current topics related to computer-aided RNA bioinformatics
will be discussed. These can be, among others, the following: Folding:
RNA structure, thermodynamics, basic folding; RNA Abstract shapes; Comparative
Structure Prediction: structure comparison, alignment folding, consensus
shapes; Structure Comparison: structure metrics, tree alignment, multiple
structure alignment; RNA gene prediction: prediction from models, prediction
from folding, prediction from comparisons; miRNAs: miRNA prediction,
miRNA target prediction; Stochastic Models: HMMs, SCFGs, model training;
3D-Modelling; Cofolding; RNA Motifs and other topics supplemented by current
research.

Objectives

The students can independently work with supervision on a challenging topic
through systematic research. Students gain experience in giving a technical
presentation and producing a technical writeup in bioinformatics. They summarize,
assess, classify, scientifically correctly represent and present concepts
and methods of bioinformatic RNA biology. On the one hand, the students will
get an overview of modern knowledge in the field of bioinformatic RNA biology
and thus the importance of this subfield of bioinformatics. On the other hand,
they will know that there are still many open research questions in this field.
By studying current articles, the students have not only improved their reading
and learning skills, but also their personal responsibility. The form of learning
used in the seminar is intended to help the students to develop self-confidence
(presentation) and the ability to criticise and communicate (subsequent discussion).

Allocation of credits / grading
Type of Class
Status
SWS
Credits
Type of Exam
Exam duration
Evaluation
Calculation
of Module (%)
Seminar
S
o
2
3.0
tp, op
45
g
100
Prerequisite for participation There are no specific prerequisites.
Lecturer / Other Nieselt
Literature

Articles / scientific publications for each individual topic

Last offered unknown
Planned for currently not planned
Assigned Study Areas BIO-BIO, BIO-SEM, INFO-INFO, MEDI-APPL, MEDI-INFO, MEDZ-BIOMED, MEDZ-SEM, ML-CS