Single-cell analysis is reshaping drug discovery, but interpretation remains slow. AI single cell approaches may close the ...

The core of AEGIS is its custom class system, which models the hierarchical nature of genomic annotations. This object-oriented approach provides several key advantages over traditional, line-by-line ...

Late in 2025, we covered the development of an AI system called Evo that was trained on massive numbers of bacterial genomes. So many that, when prompted with sequences from a cluster of related genes ...

The accuracy of genomic annotation is crucial for subsequent functional investigations; however, computational protocols used in high-throughput annotation of open reading frames (ORFs) can introduce ...

The tool integrates de novo detection of NLR loci at the genome level with targeted genome reannotation, and systematically reconciles these results with existing annotations to produce a ...

Gene duplication drives evolutionary innovation through neofunctionalization, yet the underlying molecular mechanisms remain elusive. Here, we uncover how a conserved mitochondrial enzyme acquires ...

Abstract: The rapid advancement of scRNA-seq has generated massive data for cell type annotation. However, current automated annotation methods remain limited: most approaches separately model either ...

Understanding the structure and function of microbial genomes is crucial for uncovering their ecological roles, evolutionary trajectories, and potential applications in health, biotechnology, ...