Harrison Ho

The paper introduces GenomeOcean, a large-scale generative model trained on metagenomic data, to explore the genomic manifold hypothesis and demonstrates its alignment with another model.

This study evaluates using persistent memory to reduce out-of-memory errors in metagenome assembly, showing it can handle terabyte-sized datasets with increased scalability.

Genome Constellation improves taxa assignment and discovers novel taxa in metagenomic datasets by clustering genomes based on k-mer similarities.