Martin Luther University Halle-Wittenberg

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Mustererkennung und Bioinformatik

Logo of the group for Pattern Recognition and Bioinformatics

Logo of the group for Pattern Recognition and Bioinformatics

Contact

Leiter:    Herr Prof. Dr.-Ing. Stefan Posch

Institut für Informatik
Von-Seckendorff-Platz 1
06120 Halle (Saale)

phone: ++49-345-55-24728

Contact

Sekretariat:    Frau Kathleen Kletsch

room 4.10
Institut für Informatik
Von-Seckendorff-Platz 1
06120 Halle

phone: ++49-345-55-24754
fax: ++49-345-55-27039


News

ImageJ-Kurs im Oktober 2014

Wir organisieren gemeinsam mit Dr. Martin Schattat vom Institutsbereich Pflanzenphysiologie sowie Dipl.-Bioinf. Danny Misiak und Dipl.-Bioinf. Markus Glaß vom Institut für Molekulare Medizin bzw. der Core  Facility Imaging der Medizinischen Fakultät einen Einführungskurs zur Bildanalyse-Software ImageJ. Der Kurs erstreckt sich über 3 Termine und gibt einen Überblick über die Grundfunktionalität von ImageJ, häufig wiederkehrende Analyseaufgaben sowie Grundzüge der Automatisierung mit Makros.

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Pattern Recognition and Bioinformatics

In short, pattern recognition may be characterized as automatically computing an interpretation of sensor data which is appropriate for a given task. Bioinformatics on the other hand aims at exploiting techniques and methods from computer science for biological problems.

Within bioinformatics the Pattern Recognition and Bioinformatics group concentrates on applying pattern recognition techniques to various biological problems.
In particular, currently work is done on

  • analysis of microarray data
  • detection of transcription factor binding sites using statistical models

The second area of activities is in computer vision. Current areas of interest are in particular

  • vision setups with one or multiple active cameras, and their application to the field of mobile and interactive systems
  • tracking using probabilistic filtering techniques

Further work is done in the overlapping area between bioinformatics and image analysis, e.g.,

  • automatic analysis of microscopy images
  • automatic evaluation of data from 2D gel electrophoresis experiments

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