Genomic Foundation Models Absorbing Core Analytical Work
#1A new generation of genomic foundation models trained on millions of microbial genomes is replacing the bioinformatics analyst workforce at the sequence-analysis layer. Evo (Arc Institute, 2024), trained on 2.7 million prokaryotic and phage genomes using a 7-billion parameter architecture, performs zero-shot functional prediction, variant effect scoring, and sequence generation for novel organisms. ESM-2 and ESMFold (Meta) predict protein structure and function from sequence with accuracy matching experimental methods. DNABERT-2 handles cross-species genomic classification. These models run on commodity cloud GPU infrastructure, eliminating the need for specialized bioinformatics teams at most research institutions.