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Project wiki and documents (project staff only) → https://wikis.fu-berlin.de/x/_wASPQ
Prof. Knut Reinert
Jul 01, 2020 — Jun 30, 2024
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 ...
Dr. Vitor Cedran Piro
Oct 01, 2021 — Sep 30, 2023
Metagenomics enables the discovery and study of the collective genomic content from diverse environments through computational methods and analyses of data. The fast growth of public repositories of sequences contributes to the success of metagenomics applications. But repositories are growing ...
OpenMS - 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 ...
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, ...
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 ...