Annika Jochheim

The paper benchmarks deep learning metagenome binners on CAMI2 datasets, finding COMEBin and GenomeFace as top performers, with post-binning reassembly improving low coverage bins.

PenguiN improves strain-resolved assembly of viral genomes and bacterial 16S rRNA from metagenomics by using overlap-based methods and a Bayesian model, resulting in longer contigs and more complete genomes.

CarpeDeam improves de novo assembly of ancient metagenomic datasets by incorporating damage-aware models, recovering longer sequences and proteins better than existing tools.