Enrico Seiler

This paper introduces a dynamic and updatable sequence-search index called Dynamic HIBF, which efficiently handles large-scale data updates and outperforms existing methods in speed.

This paper introduces HIBF, a fast and space-efficient data structure for approximate sequence queries, showing significant improvements in speed and resource usage over existing tools.

The paper evaluates metagenomic software tools using realistic datasets, highlighting improvements in assembly and taxon profiling while identifying remaining challenges in virus/archaea detection and reproducibility.

Raptor is a fast and memory-efficient tool for searching large nucleotide sequence collections, outperforming existing tools in speed and memory usage.

Ganon improves metagenomics classification by efficiently indexing and updating large reference sequence sets, increasing read classification and species identification compared to existing tools.

The paper introduces DaisyGPS, a tool for identifying HGT acceptor and donor candidates using metagenomic data, validated on simulated and real data including MRSA outbreak analysis.

DREAM-Yara provides an efficient read mapper for large reference databases, reducing index construction time and enabling faster updates.

Bioconda provides a sustainable, comprehensive distribution of bioinformatics software using Conda for reproducible analysis across platforms.