DNA language models are powerful predictors of genome-wide variant effects

The expanding catalog of genome-wide association studies (GWAS) provides biological insights across a variety of species, but identifying the causal variants behind these associations remains a significant challenge. Experimental validation is both labor-intensive and costly, highlighting the need f...

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Detalles Bibliográficos
Autores principales: Benegas, Gonzalo, Batra, Sanjit Singh, Song, Yun S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2023
Materias:
Biological Sciences
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10622914/
https://www.ncbi.nlm.nih.gov/pubmed/37883436
http://dx.doi.org/10.1073/pnas.2311219120

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10622914/
https://www.ncbi.nlm.nih.gov/pubmed/37883436
http://dx.doi.org/10.1073/pnas.2311219120

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