The authors then apply those models, along with experimental genomics techniques, to create synthetic DNA sequences that can drive gene expression in specific cell types, which has implications ...

With this robust amount of biological data, the model works much like language learning models (LLMs) such as Google Gemini, ...

DNA stands for deoxyribonucleic acid. Nucleic acids are named for where they're found—inside the nuclei of cells—and for the ...

After all, the cell must repeat its whole genetic material, including billions of genetic letters, before it can divide. Read ...

A new AI model leverages deep learning to understand the binding of transcription factors to DNA, focusing on the process of ...

To understand the workings of DNA in relation to disease, scientists at Los Alamos National Laboratory have developed the ...

A new study presents "Evo" – a machine learning model capable of decoding and designing DNA, RNA, and protein sequences, from molecular to genome scale, with unparalleled accuracy. Evo's ability to ...

With this model, the extent of concentration enhancement ... to a simple physical phenomenon: concentration of DNA at the cell surface induced by settling of DNA–vector–nanoparticle complexes ...

A new study presents "Evo" – a machine learning model capable of decoding and designing DNA, RNA, and protein sequences, from ...

This important work advances our understanding of DNA methylation and its consequences for susceptibility to DNA damage. This work presents evidence that DNA methylation can accentuate the genomic ...

Researchers developed MethylGPT, a powerful transformer-based model that identifies DNA methylation patterns, enabling ...