Module Number

BIO4377
Module Title

Computational Microbiology
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

Written report and oral presentation based on a selected topic

Content

This seminar covers current topics and methods in computational microbiology. It introduces computational approaches for the analysis of microbial genomes, metagenomes, and transcriptomes, as well as bioinformatic tools for investigating microbial diversity, function, and ecology. A particular focus is placed on the analysis of large-scale sequencing data, integration of multi-omics datasets, and modeling of microbial interactions. Students will engage with current research literature and present selected topics in the seminar.

This seminar is particularly suitable for specialization in bioinformatics, microbiology, systems biology, or data analysis in the life sciences.

Objectives

Students will gain an in-depth understanding of bioinformatic methods for microbial data analysis. They will learn to identify relevant data sources, select suitable software tools, and critically interpret analytical results. Furthermore, students will improve their academic skills by independently reviewing and presenting complex topics from the scientific literature.

Allocation of credits / grading
Type of Class
Status
SWS
Credits
Type of Exam
Exam duration
Evaluation
Calculation
of Module (%)
Prerequisite for participation There are no specific prerequisites.
Lecturer / Other Nahnsen
Literature

Voraussetzungen: Grundkenntnisse in Bioinformatik und Molekularer Biologie
Literatur: Wissenschaftliche Originalliteratur sowie weitere Literatur; die Literatur wird zu Beginn des Seminars bekannt gegeben.

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Prerequisites: Basic knowledge in bioinformatics and molecular biology is required. /
Literature: Original research papers and additional literature will be provided at the beginning of the seminar.

Last offered unknown
Planned for currently not planned
Assigned Study Areas