Multiplexed assays of variant effect (MAVEs) systematically measure variant function but have been limited to cancer cell lines rather than disease-relevant cell types. We developed saturation genome ...

Enter your best cell image by April 16th.

The ambitious state lawmaker argues moves by Elon Musk and Robert F. Kennedy Jr. show the Golden State must “step up” as a global leader.

It’s time to say it plainly. America’s leadership has switched sides in the war. The American people have not, and they should speak up. In the past several weeks, the U.S. leadership has demonstrate...

Survey reveals a desire to hold onto their professional identity keeps Ph.D.s working beyond their 60s

Uncertain funding, government firings, and distressed universities hit vulnerable groups especially hard

Such a shift would “put us back in the dark ages in terms of our science,” says neuroscientist Anne Murphy, who helped to formulate the original policy.

Follow President Donald Trump’s impact on U.S. research and science globally

The first full draft of the assessment, on the state of America’s land, water and wildlife, was weeks from completion. The project leader called the study “too important to die.”

In 1984, Dr. Daniel Drucker, an endocrinologist from the University of Toronto, discovered a hormone that helped pave the way for popular diabetes drugs such as Ozempic.

An optical pooled cell profiling platform (PERISCOPE) based on Cell Painting and optical sequencing of molecular barcodes was used to develop the first unbiased genome-wide morphology-based perturbati...

Lentivirus-based reporter assays for 680,000 regulatory sequences from three cell lines coupled to machine-learning models lead to insights into the grammar of cis-regulatory elements.

Rare diseases are collectively common, affecting approximately one in twenty individuals worldwide. In recent years, rapid progress has been made in rare disease diagnostics due to advances in DNA seq...

Mapping enhancers and their target genes in specific cell types is crucial for understanding gene regulation and human disease genetics. However, accurately predicting enhancer-gene regulatory interac...

Deep learning approaches have made significant advances in predicting cell type-specific chromatin patterns from the identity and arrangement of transcription factor (TF) binding motifs. However, most...