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Algorithmic Bioinformatics (ABI)
Algorithmic Bioinformatics

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Department » Computer Science » Work Groups » Algorithmic Bioinformatics (ABI)

Algorithmic Bioinformatics (ABI)

 

The Algorithmic Bioinformatics group of Prof. Dr. Ing. Knut Reinert focuses on the development of novel algorithms and data structures for problems in the analysis of biomedical mass data.

In particular, we are interested in developing mathematical models for analyzing large genomic sequences, especially in the context of next generation sequencing (NGS), and data derived from mass spectrometry experiments, for example for detecting differential expression of proteins between normal and diseased samples.

Apart from modeling problems and devising efficient algorithms to solve the problems, the group focuses on developing free, integrated implementations of these algorithms and data structures in maintainable software libraries such as:

openms_logo_small    A C++ framework for the analysis of HPLC/MS data.

  seqan_logo_small    A generic C++ library for biological sequence analysis.

seqan_cover_small    NEW!  SeqAn users can also read about its design in the new SeqAn book.

 


Click here for information on the Bachelor and Master programs in bioinformatics.


For information about the International Max-Planck Research School for Computational Biology and Scientific Computing click IMPRS-CBSC.


Our reference library offers a number of books that can be consulted on location (no lending!). Please contact our secretary.

 


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Last Update: 11/18/2009

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