DNABERT-S: Learning Species-Aware DNA Embedding with Genome Foundation Models

arXiv:2402.08777v1 Announce Type: cross
Abstract: Effective DNA embedding remains crucial in genomic analysis, particularly in scenarios lacking labeled data for model fine-tuning, despite the significant advancements in genome foundation models. A prime example is metagenomics binning, a critical process in microbiome research that aims to group DNA sequences by their species from a complex mixture of DNA sequences derived from potentially thousands of distinct, often uncharacterized species. To fill the lack of effective DNA embedding models, we introduce DNABERT-S, a …

arxiv cs.ai cs.ce cs.cl dna embedding foundation genome q-bio.gn type