Willkommen im Labor für Algorithmen in der Bioinformatik
Das Hauptaugenmerk unseres Labors liegt auf der Entwicklung neuer und fortschrittlicher Algorithmen für die Bioinformatik. Hier ist eine kurze Liste unserer aktuellen Forschungsschwerpunkte:
- Microbiomanalyse und -simulation
- Long-Read-Analyse
- Phylogenetische Netzwerke und Bäume
- Modelle, Algorithmen, Software und Komplexität
Weitere Einzelheiten finden Sie im Abschnitt Forschung, in unseren Veröffentlichungen und in unserer Software.
Neue Publikationen
David Bryant, Daniel H. Huson, NeighborNet: improved algorithms and implementation, Front. Bioinform., 20 September 2023
Sec. Data Visualization Volume 3 - 2023
Wenhuan Zeng, Anupam Gautam, Daniel H. Huson, MuLan-Methyl—multiple transformer-based language models for accurate DNA methylation prediction, GigaScience, Volume 12, 2023, giad054, published 25 July 2023
Caner Bagci, Benjamin Albrecht, Daniel H. Huson, MAIRA: Protein-based Analysis of MinION Reads on a Laptop, Springer Link pp 223-234, June 2023
Aktuelle Neuigkeiten
Wir laden Sie herzlich ein zum Vortrag unseres Gastes, Cristian Botta, PhD researcher, Department of Agricultural, Forest and Food Sciences, University of Torino, Italy. Titel: The use of omics in food transformation processes and environments: from the current observational studies to the future practical applications am 10. Oktober 2023, um 14 st. Uhr im Raum F119, Sand 6. Abstract: Metataxonomic, metagenomic and transcriptomic are nowadays extensively used in medical microbiology to obtain a holistic view of the patient's identity and further highlight biomarkers associated to human pathologies and diseases. Although for microbiologists they represent well-established techniques, in food science and technology their use is still marginal and their potentialities are far from being fully understood, both from academia and industry. In this talk examples of omics applications in food industries and processes will be shown and discussed, with emphasis on advantages, limitations and pitfalls encountered in the last five years of applied research