Algorithms in Bioinformatics

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

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 

Wenhuan Zeng, Anupam Gautam, Daniel H. Huson, MuLan-Methyl—multiple transformer-based language models for accurate DNA methylation predictionGigaScience, 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

 

 

 

Latest News

You are invited to the talk of our guest, Cristian Botta, PhD researcher, Department of Agricultural, Forest and Food Sciences, University of Torino, Italy. Title The use of omics in food transformation processes and environments: from the current observational studies to the future practical applications on 10th October 2023, starting 2 p.m. to 3 p.m. in room F119 on 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