Gene regulation is far more predictable than previously believed, scientists conclude after developing the deep learning ...

Deep-learning model decodes the regulatory effects of DNA changes ...

Some sequences in the genome cause genes to be switched on or off. Until now, each of these gene switches, or so-called enhancers, was thought to have its own place on the DNA. Different enhancers are ...

Researchers say the deep learning model may help to create leads for new cancer diagnostics, patient stratification, and future therapies.

In biology classrooms, we often learn that genes are transcribed into mRNA, which is then translated into proteins—a tidy, linear process. But gene expression in living cells is far more intricate, ...

Professor Carsten Carlberg has published a comprehensive new textbook, Gene Regulation and Epigenetics: How Science Works, presenting the current understanding of gene regulation and epigenomics.

Biologists have discovered a new type of RNA-splicing regulation that helps to determine which protein-coding exons will be included in messenger RNA transcripts. RNA splicing is a cellular process ...

Gene regulation is far more predictable than previously believed, scientists conclude after developing deep learning model PARM. This might bring an end to a scientific mystery: how genes know when to ...