Algorithms in Bioinformatics

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

For more details, see the research section, our publications and our software.

Recent Publications

Daniel H. Huson, Joana C. Xavier, Mike A. Steel, CatReNet: Interactive analysis of (auto-) catalytic reaction networks Bioinformatics, btae515, published 20 August 2024

Catherine M. Spirito, Timo N. Lucas, Sascha Patz, Byoung Seung Jeon, Jeffrey J. Werner, Lauren H. Trondsen, Juan J. Guzman, Daniel H. Huson, Largus T. Angenent, Variability in n-caprylate and n-caproate producing microbiomes in reactors with in-line product extraction, Journal mSystems Open Peer Review Biotechnology Research Article 11 July 2024

Anupam Gautam, Debaleena Bhowmik, Sayantani Basu, Wenhuan Zeng, Abhishake Lahiri, Daniel H Huson, Sandip Paul, Microbiome Metabolome Integration Platform (MMIP): a web-based platform for microbiome and metabolome data integration and feature identification, Briefings in Bioinformatics, Volume 24, Issue 6, November 2023

David Bryant, Daniel H. Huson, NeighborNet: improved algorithms and implementation, Front. Bioinform., 20 September 2023
Sec. Data Visualization Volume 3 - 2023