Module Number

BIOINF4220 (entspricht BIO-4220) 		Module Title

Integrative Bioinformatics 		Lecture Type(s)

Practical Course
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

A written report is to be submitted after the course. Performance during the course will also be integrated into the final grade.
Content

The basics of modelling biological data and integration of heterogeneous datasets
are conveyed and applied on concrete examples in this practical course.
Using the scripting language Python the data is parsed and consolidated in a
database. Biologically relevant, demonstrative analyses are performed on this
integrated data. Data integration, exploration, visualization, statistical tests
and machine learning are applied on a dataset of genomic, transcriptomic, metabolomic
and phenomic data from genetically equal samples.
Objectives

(1)The students learn how to parse and integrate heterogeneous biological data
into databases. (2) They learn how to perform statistical analyses on biological
data and to summarize and illustrate their results visually. (3) They learn how
to interpret the results of integrative analyses and report on these results in a
concise manner.
Allocation of credits / grading
Type of Class
Status
SWS
Credits
Type of Exam
Exam duration
Evaluation
Calculation
of Module (%)
Practical Course
P
o
3
3.0
tp, op
g
100
Prerequisite for participation BIOINF4120 (enstpricht BIO-4120) Structure and Systems Bioinformatics
Lecturer / Other Kohlbacher
Literature

Will be supplied during the course.
Last offered Sommersemester 2022
Planned for Wintersemester 2025
Assigned Study Areas BIO-PRAK