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

Rajveer Singh, Shivani Chandel, Arijit Ghosh, Anupam Gautam, Daniel H. Huson, V. Ravichandiran, Dipanjan Ghosh, Easy efficient HDR-based targeted knock-in in Saccharomyces cerevisiae genome using CRISPR-Cas9 system, Bioengineered, 2023

Wenhuan Zeng, Anupam Gautam, Daniel H. Huson, MuLan-Methyl - Multiple Transformer-based Language Models for Accurate DNA Methylation Prediction, preprint bioRxiv, 2023

Anupam Gautam, Wenhuan Zeng, Daniel Huson Megan Server: facilitating interactive access to metagenomic data on a server, Preprint bioRxiv, 2022

Wenhuan Zeng, Anupam Gautam, Daniel H Huson, DeepToA: an ensemble deep-learning approach to predicting the theater of activity of a microbiome, Bioinformatics, 2022;, btac584. 

Latest News

We are co-chairing a month of workshops on phylogenetics at NUS in Singapore, please attend. Mathematics of Evolution-Phylogenetic Trees and Networks (04 Sep 2023–29 Sep 2023)

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).