The DNA dialect: a comprehensive guide to pretrained genomic language models

Abstract Following their success in natural language processing and protein biology, pretrained large language models have started appearing in genomics in large numbers. These genomic language models (gLMs), trained on diverse DNA and RNA sequences, promise improved performance on a variety of down...

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Autori principali:	Marcell Veiner, Fran Supek
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Springer Nature 2026-01-01
Serie:	Molecular Systems Biology
Soggetti:	Genomic Language Models Deep Learning in Genomics DNA and RNA Sequence Modeling Variant Effect Prediction Self-Supervised Learning
Accesso online:	https://doi.org/10.1038/s44320-025-00184-4
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