Christopher J. Neely

This study shows that filtering genomes based on coherent genotype-phenotype relationships improves cross-dataset prediction of microbial carbon utilisation, outperforming larger but less coherent datasets.

The KBase Research Agent automates genome analysis workflows, producing reproducible results and annotated genomes without human intervention.

The paper introduces EukMetaSanity, a software package for high-throughput gene prediction in eukaryotic genomes, demonstrating reliable predictions for 1,700+ genomes including MAGs.

MetaSanity integrates multiple microbial genome evaluation and annotation tools into a customizable pipeline to improve reproducibility and quality analysis of microbial genomes.