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Specific Information

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:

    Timetable for the first semester: Timetable for the first semester (Winter Semester 2009/2010)
    Timetable for the third semester: Timetable for the third semester (Winter Semester 2009/2010)

    Timetable of Summer Semester 2009: Timetable for Summer Semester 2009

    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.

    Last update: 16 October 2009
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