Researchers have successfully employed an algorithm to identify potential mutations which increase disease risk in the noncoding regions our DNA, which make up the vast majority of the human genome.

In a recent preprint* uploaded to the bioRxiv server, researchers developed and trained a foundational model to predict tissue-specific RNA expression, splicing, RNA binding protein specificity, and ...