DNA Sequence Generation

DNA sequence generation is a rapidly advancing field focused on creating artificial DNA sequences with desired properties using machine learning. Current research emphasizes the development and refinement of generative models, particularly latent diffusion models, to produce realistic and diverse sequences, often incorporating techniques like transfer learning to improve efficiency and reduce experimental costs. These advancements are crucial for various applications, including the design of diagnostic assays, gene therapy, and protein production, as well as for forensic analysis of genetically engineered plasmids to trace their origins.