Tina Ganzenmueller

Haploflow assembles viral strain genomes from mixed samples, outperforming existing assemblers in speed and accuracy on benchmark datasets.

This paper introduces Swarm Learning, a decentralized machine learning approach for disease classification using transcriptomic data, demonstrating its effectiveness in developing classifiers for COVID-19, tuberculosis, and leukemias while preserving privacy.

This study benchmarks assemblers and variant callers for strain-resolved analysis of large DNA viruses, identifying best practices and challenges in handling low-divergent viral populations.