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  • Welcome

    We are an interdisciplinary junior research group at Freie Universität Berlin developing methods for analyzing biological systems, ultimately allowing for new clinical diagnostics tools. Proteomics is a relatively young discipline dealing with the complicated protein mixture in biological systems, for example the human body. Changes in the concentration of some protein species can often be directly linked to diseases, such as cancer. The Mecical Bioinformatics Group develops new algorithms capable of identifying changes in the very high dimensional proteome data we are getting from clinical partners. In particular, we are interested in tiny signals that are usually hidden in the noisy part of the data and not detectable by current approaches.

    Model 1
  • Welcome

    We are an interdisciplinary junior research group at Freie Universität Berlin developing methods for analyzing biological systems, ultimately allowing for new clinical diagnostics tools. Proteomics is a relatively young discipline dealing with the complicated protein mixture in biological systems, for example the human body. Changes in the concentration of some protein species can often be directly linked to diseases, such as cancer. The Mecical Bioinformatics Group develops new algorithms capable of identifying changes in the very high dimensional proteome data we are getting from clinical partners. In particular, we are interested in tiny signals that are usually hidden in the noisy part of the data and not detectable by current approaches.

    Model 2
  • Welcome

    We are an interdisciplinary junior research group at Freie Universität Berlin developing methods for analyzing biological systems, ultimately allowing for new clinical diagnostics tools. Proteomics is a relatively young discipline dealing with the complicated protein mixture in biological systems, for example the human body. Changes in the concentration of some protein species can often be directly linked to diseases, such as cancer. The Mecical Bioinformatics Group develops new algorithms capable of identifying changes in the very high dimensional proteome data we are getting from clinical partners. In particular, we are interested in tiny signals that are usually hidden in the noisy part of the data and not detectable by current approaches.

Bio Patterns

Follow this link to browse our Bio Patterns databases.

The Team

Meet the team and see what we are doing.

Our Software

Here you can find information about our software libraray.

Are you looking for some interesting data-sets?

Click here