Bioinformatics Algorithms

Module Code
BI2001
Module Coordinators
Andreas Peter Dominik
Teachers
  • Andreas Peter Dominik
  • Thomas Letschert
  • Short Description
    The module introduces the most important bioinformatics algorithms. Abilities and limitations of algorithms is clarified by application to real-life problems.
    Learning Objectives

    Students know important algorithms of Bioinformatics software. They are rendered capable to apply appropriate algorithms to biological questions and to implement them.

    They are furthermore able to critically discuss the advantages and disadvantages of different implementations.

    Contents
    • Basic bioinformatics algorithms, such as dynamic programming, searching, pattern recognition, optimization, etc.
    • Novel algorithms from current research.
    • Application to practical questions.
    • Application of public domain tools and implementation of own software tools.
    Duration in Semester
    1
    Instruction Language
    German
    Total Effort
    6 CrP; an estimated 180 hours, of which approximately 60 are spent in class.
    Weekly School Hours
    4
    Method of Instruction

    Lecture 2 SWS, Practical Course 2 SWS

    Requirements for the awarding of Credit Points

    Examination prerequisite: Acceptance of exercises

    Examination: Written exam

    Evaluation Standard

    according to examination regulations (§ 9)

    Availability
    Yearly
    References
    • N.C. Jones, P.A. Pevzner: An Introduction to Bioinformatics Algorithms The MIT Press
    • R. Merkl und S. Waack: Bioinformatik interaktiv: Algorithmen und Praxis Wiley- VCH
    Prerequisites
    mn1010,cs1021