Welcome to the Algorithms in Bioinformatics lab.
The main focus of our lab is on developing new and advanced algorithms for bioinformatics. Here is a short list of our current main research interests:
- Microbiome analysis and simulation
- Long read analysis
- Phylogenetic networks and trees
- Models, algorithms, software and complexity
Gabriela Fiori da Silva, Anupam Gautam, Iolanda Cristina Silveira Duarte, Tiago Palladino Delforno, Valéria Maia de Oliveira, Daniel H. Huson Interactive analysis of biosurfactants in fruit-waste fermentation samples using BioSurfDB and MEGAN Scientific Reports 12, Article number: 7769 (2022)
Anupam Gautam, Hendrik Felderhoff, Caner Bagci, Daniel H. Huson. Using AnnoTree to Get More Assignments, Faster, in DIAMOND+MEGAN Microbiome Analysis, ASM Journals mSystems Vol.7 No.1 (22.02.2022)
Caner Bağcı, David Bryant, Banu Cetinkaya, Daniel H.Huson. Microbial Phylogenetic Context Using Phylogenetic Outlines, Genome Biology and Evolution, Volume 13, Issue 9, September 2021, evab213,
Rüdiger Zeller, Olaf Delgado Friedrichs, Daniel H. Huson. Tegula - exploring a galaxy of two-dimensional periodic tilings, Computer Aided Geometric Design, Volume 90, October 2021, 1020727 (2021)
Robin Gerlach is visiting the group September 2022 for a year. He is a professor in the Department of Chemical and Biological Engineering at Montana State University-Bozeman (MSU).
Wenhuan Zeng, Anupam Gautam, Daniel Huson, DeepToA: An Ensemble Deep-Learning Approach to Predicting the Theater of Activity of a Microbiome bioRXiv (pre-print 2022)
Samad Ashrafi, Nemanja Kuzmanovic, Sascha Patz, Ulrike Lohwasser, Boyke Bunk, Cathrin Spröer, Maria Lorenz, Anja Frühling, Meina Neumann-Schaal, Susanne Verbarg, Matthias Becker, Torsten Thünen Two new Rhizobioales species isolated from root nodules of common sainfoin (Onobrychis viciifolia) show different plant colonization strategies bioRXiv (pre-print 2022)
S. Patz, A. Gautam, M. Becker, S. Ruppel, P.Rodriguez-Palenzuela, D. H. Huson. PLaBAse: A comprehensive web resource for analyzing the plant growth-promoting potential of plant-associated bacteria bioRXiv (pre-print 2021)