We know the genes, but not their functions—to resolve this long-standing bottleneck in microbial research, a joint research ...

A whole-genome sequencing approach shows early promise over current commercial methods for identifying more patients likely ...

A new machine-learning-based approach to mapping real-time tumor metabolism in brain cancer patients, developed at the ...

Trained on 9.7 trillion tokens of evolutionary data, EDEN designs therapeutics from large gene insertion to antimicrobial peptides.

The largest single cell perturbation dataset to-date will be generated and released open source in a new team effort.

Engineers at the University of California have developed a new data structure and compression technique that enables the ...