Thomas Krannich

This study evaluates structural variant callers using long-read sequencing data, showing performance variation based on ground truth, reference genome, and genomic regions.

This paper introduces an assembly-free method to augment pangenome graphs using long reads from new samples, without aligning to a reference or calling variants.

CIEVaD provides lightweight workflows for generating synthetic test data and evaluating genomic variant detection accuracy.

varVAMP designs pan-specific primers for tiled sequencing and qPCR of diverse viruses, ensuring specificity through minimal variability regions and degenerate nucleotides.

MoleMap provides a fast, alignment-free molecule mapping tool for long-read and linked-read sequencing data, outperforming existing methods in speed and memory usage.

PopIns2 detects non-reference sequence variants across large genome datasets using a colored de Bruijn graph approach, showing improved scalability and precision.