Susanne Reimering

CoVerage predicts and characterizes SARS-CoV-2 Variants of Interest by analyzing lineage frequency dynamics and antigenic changes from GISAID data.

The paper introduces ILRA, a tool that improves long read assemblies by correcting homopolymer errors and merging contigs, resulting in higher-quality genome assemblies.

The paper uses air transportation data and the Sankoff algorithm to reconstruct the phylogeographic spread of the 2009 H1N1 influenza A pandemic, showing improved accuracy over geographic and Bayesian methods.

The paper introduces SD plots to identify selective sweeps in influenza A virus genomes, showing their use in tracking adaptive changes in pH1N1 and sH3N2 viruses.