"Applied bioinformatics in molecular biosciences" [M.Bio.105]

Learning outcome/ Core skills:
Handling of programs, bioinformatic tools and databases with respect to data-driven
Omics-based research, allowing to answer important questions of modern biology.
Main topics are:
• Application of bioinformatic approaches in molecular phylogeny, evolution, genome
dynamics und (meta)Omics
• Bioinformatic analysis of RNAs and proteins
• Identification of motifs and genes
• Generation and analysis of metabolic models and networks
There’s special focus on the analysis, visualisation and integration of big datasets
generated by Omics approaches (e.g., genomics, transcriptomics, proteomics and
metabolomics), which form the basis for a systemic understanding of organisms and

1. Lecture: »Applied Bioinformatics in molecular biosciences« (3 WLH)
2. Seminar: »Applied Bioinformatics« (1 WLH)
3. Methods course: »Applied Bioinformatics in molecular biosciences« (10 WLH)

oral presentation (30 min) with respect to approaches and results of the methods course (80% of grade) and seminar presentation (15 min, 20% of grade)

Prerequisite for examination:
regular attendance in methods course and seminar, protocol or manuscript
Examination requirements:
Detailed knowledge in bioinformatic approaches with focus on (meta)omics-based analysis, detection of motifs and modeling of metabolic abilities.
Ability to critically reflect and present scientific publications.

Selection options

Admission requirements
Linux-course, B.Bio-NF117 or comparable modules

Recommended previous knowledge
Python and R

Number of repeat examinations permitted

Course frequency
each winter semester

1 semester


360 h (194/164 h, Attendance time/Self-study time)

Person responsible for module
Prof. Dr. Rolf Daniel