Quanta: genomic foundation models useful but limited by complex gene regulation
A Quanta Magazine feature argues that genomic “foundation models” such as Evo 2, Genos and DeepMind’s AlphaGenome—trained on large sequence datasets—can make useful predictions but face fundamental limits because the human genome’s regulatory architecture is highly complex and may not conform to straightforward input–output patterning.