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Prof. Knut Reinert, Dr. René Rahn
CIBI - SeqAn is part of the German Network for Bioinformatics Infrastracture de.NBI de.NBI CIBI - SeqAn CIBI Progress in medicine and life sciences becomes more and more dependent on complex workflows for data analysis. The immensely increasing amount of data that ...
Prof. Knut Reinert
Jul 01, 2020 — Jun 30, 2028
Foundations for Large-Scale Scientific Data Analysis Workflows Essentially all scientific disciplines are generating an ever-increasing amount of data. To derive scientific discoveries, these data sets are analyzed by complex data analysis workflows (DAWs), which are series of discrete analysis ...
Mar 24, 2025 — Mar 23, 2028
RegEx Querying for Biological Sequences DNA sequencing, the process of determining the order of nucleotides in the DNA, is a cornerstone of such diverse fields as molecular biology, metagenomics, virology, and proteomics. It provides an angle to identify insertion and deletions in genes, their ...
Sep 01, 2022 — Aug 31, 2025
Das Projekt SeqAn@FPGA: Enabling powersaving and ultrafast approximate sequence search beschäftigt sich mit der Implementierung zentraler Datenstrukturen für die bioinformatische Sequenzanalyse, nämlich des Hierarchical Interleaved Bloom Filter und des FM index auf einem FPGA. Diese sollen ...
Mar 01, 2025 — Feb 28, 2029
Waste Water Pathogen Project Measurements of pathogens by PCR, WGS/NGS measurements and Shotgun Metagenomics in untreated wastewater samples Efficient wastewater screening requires several key aspects at the level of bioinformatic data analysis, data management and presentation of the results. ...
Prof. Knut Reinet
A C++ library for biological sequence analysis SeqAn is an open source C++ library of efficient algorithms and data structures for the analysis of sequences with the focus on biological data. Our library applies a unique generic design that guarantees high performance, ...
A C++ library for MS based Proteomics analysis The OpenMS library is intended to provide a flexible framework for the differential analysis of HPLC/MS data. OpenMS offers algorithms for peak picking, protein ID, labeled and label-free quantitation. OpenMS has been and is ...
