A machine learning framework to predict and quantify synthesis difficulties for designer chromosomes

Artificially synthesizing genomes has broad prospects in fields such as medical research and developing industrial strains. From the synthesis of the artificial life JCVI-syn1.0 by Craig Venter's team in 2010, to the rewriting and synthesis of the prokaryotic E. coli genome, and to the Sc2.0 project's artificial synthesis of the yeast genome, researchers are constantly advancing in the depth and breadth of genome design and synthesis.