The Master Programme of Life Science Informatics is a two years course, accredited by
ASIIN.
Structure of the Programme
The Master Programme of Life Science Informatics is made up of the following modules:
Computer Science (COS), 15 Credit Points (CP)
Life Science Research (LSR), 15 CP
Algorithmic Life Science Informatics (ALB), 15 CP
Modelling, Simulation, Statistics (MOD), 15 CP
Specialisation in Biology (BIO), 15 CP
Specialisation in Chemistry (CHM), 15 CP
Total yield of credit points earned in courses: 90 CP
Another 30 CP have to be acquired with the master thesis.
Total yield of CP earned in the master programme (courses and thesis): 120 CP
Students have the opportunity to either specialise in bioinformatics or in chemoinformatics.
The programme emphasizes the students' early exposure to eminent scientists. Therefore courses and Lecture Series with invited excellent researchers in their respective fields are offered to students to broaden their horizon.
One example on how this is achieved, is the LSI International Lecture Series. Students had the opportunity to discuss current topics from the field of Life Science Informatics with a plethora of highly experienced researchers.
Insight into the Current Programme
If you want to find out more about the currently running programme and the courses offered, please follow these links:
Some Topics of Masters Theses carried out in the Previous Years
Indexing, Annotation and Visualisation System for Knowledge Discovery
Array Process: Work Flow for Microarrays
A Hardware and Software environment for observing and analysing long term Behaviour of embryonic stem cellderived Cardiomyocytes
Reanalyzing phylogenetic data of the Sacoglossa (Mollusca, Gastropoda, Opisthobranchia)
PDB Vs SWISS-PROT: The comparison of two protein databases
Bayesian Network Modeling for Cerebral Aneurysm Rupture Risk and Treatment
Strategies for the generation of higher order protein dictionaries for text-mining: Complex and family name dictionaries
Genomic Analysis of the Primary Metabolism of the uncultivated Symbiont Pseudomonas paederi
Test of Reliability and Efficiency of two Middlewares through Application of two large scale Docking Tools
Clustering of Gene Expression Time Series
Databases as training sets for machine learning: Assessing optimal chemical space coverage
Performance Analysis of Selected Molecular Similarity Methods on Compound Activity Classes of Increasing Structural Diversity
Conceptual Design of a Protocol Database for Chemical Image Mining
Development of a Descriptor Histogram Filtering Method for Compound Database Mining
An Application of Data Mining Methods in Chemical Compounds Classification and Regression Problems
Large-Scale Virtual High Throughput Screening (vHTS) on an Optical High-Speed Testbed
Extension of chemoCR: From reconstruction of chemical molecules to reconstruction of whole chemical reactions
Characterisation of voltage-gated Ion Channels in human stem cell-derived Neurons
Optimizing Combinations of Random Molecular Fragments for Similarity Searching by Frequency Analysis
Modelling of Genome-Scale Metabolic Networks: Data Acquisition and Networks
Concept-based Semi-Automatic Extension of Drug Hierarchies
Structure-activity Relationships and Pharmacophor Modelling of Purine Receptor Antagonists.
Enhancing Methods for the Biomedical Knowledge Discovery Process
The Relationship Between Genetic Redundancy and Correlated Expression of Duplicated Genes in
A. thaliana
and
C. elegans
Modelling and Analysis of Scorpion Walking Patterns for Posterior and Anterior Leg
Kinetic and docking Studies on the Interaction of Proteases with Molecular Weight Compounds
Global Analysis of Genes expressed during Mesodermal Development (Microarray Data Analysis-Affymetrix data)
Network-based Approach for Analyzing Pathway Interactions
Visualization and Analysis of Multi-Modal extracted Information from Full Text and Patent Corpora
PaperMaker: Consistency Analysis of Scientific Biomedical Literature
Modelling of Genome-Scale Metabolic Networks: Data Acquisition and Simulation Process
Concept-Based Semi-Automatic Extension of Drug Hierarchies
Integration of Data Resources for Knowledge Discovery in Life Science
List of Research Partners
Some of the theses mentioned above were carried out in collaboration with research partners outside B-IT and B-IT constituting partners. Some examples of such research collaborations are:
European Bioinformatics Institute
ETH Zürich
Research Center Juelich (Forschungszentrum Jülich)
Max Planck Institute for Plant Breeding Research Cologne
Bayer Technology Services
Cubic (Cologne University Bioinformatics Center)
University of Cologne
Admission
For specific conditions of admission for international applicants please check our
Online-Application.
For more information please contact
B-IT
Coordination Team of
Life Science Informatics
Dahlmannstraße 2
D-53113 Bonn
Germany
E-mail: msc-lsi (at) b-it-center.de*
*Note: Please replace "(at)" with "@" and remove the blanks to get the correct e-mail address.