On the right, DNA sequence reads are represented as dots color-coded by chromosome. Genome organization is a feat of compaction, fitting 2 m of DNA into an oblong nucleus just a few dozen ...

Google's DeepMind launches AlphaGenome, an artificial intelligence model that predicts gene expression from DNA sequence.

Google DeepMind has introduced a new AI tool called AlphaGenome. It reads long stretches of human DNA and predicts ...

Cells depend on the precise reading of DNA sequences to function correctly. This process, known as gene expression, ...

Alphabet Inc.’s Google DeepMind today introduced AlphaGenome, a new artificial intelligence tool that can comprehensively ...

AlphaGenome scores mutation effects across coding and non-coding DNA, bringing gene insights to the base-pair level.

Scientists have identified two proteins involved in regulating chromatin remodelling which could be promising therapeutic ...

The team experimentally quantified the aggregation of more than 100,000 protein sequences, and used this dataset to train the new AI tool for predicting aggregation from sequence.

Approximately 33.6% of reads were mapped within 200 nm of nuclear proteins. DNA regions near the nuclear shell (lamin) tended to be inactive, whereas regions near nuclear speckles tended to be active.