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 ...

Researchers have developed a computational tool that shines a light on the genome's most hard-to-translate segments. With this tool in hand, scientists can get closer to understanding how DNA guides ...

Biologists have developed the first system for determining gene expression based on machine learning. Considered a type of genetic Rosetta Stone for biologists, the new method leverages algorithms ...

To overcome the inherent challenge of translation termination interference caused by stop codon reprogramming in mammalian cells, researchers from Peking University led by Chen Peng from College of ...

A paper co-authored by Prof. Alex Lew has been selected as one of four "Outstanding Papers" at this year's Conference on Language Modeling (COLM 2025), held in Montreal in October.

Two mechanisms contribute to human DNA diversity: genetic recombination and de novo mutations, or new gene variants that are not inherited. With a new genetic map developed using whole-genome sequence ...