GENOMIC LANGUAGE MODELS (GLMS) DECODE BACTERIAL GENOMES FOR IMPROVED GENE PREDICTION AND TRANSLATION INITIATION SITE IDENTIFICATION
Genereux Akotenou, Achraf El Allali
This paper introduces GeneLM, a genomic language model that improves bacterial gene prediction and translation initiation site identification, outperforming traditional methods.
Briefings in Bioinformatics · Jun 13, 2025Peer-reviewedBioinformatics