Jens-Uwe Ulrich

The paper introduces DiCNN-UniK, a model for flavivirus classification using k-mer embeddings, achieving 99% accuracy on low-coverage genomes.

The paper identifies key glycoprotein mutations in Lassa virus lineages and develops a tool for rapid lineage classification.

Taxor classifies long reads in metagenomics with high precision and reduced memory use, outperforming existing tools.

This study evaluates nanopore adaptive sampling for enriching low-abundant bacterial plasmids, showing improved assembly quality and reduced sequencing time.

ReadBouncer improves nanopore adaptive sampling by combining fast base calling with read classification using Interleaved Bloom Filters, enhancing sensitivity and specificity for low-abundance sequence enrichment.