S. Kasra Tabatabaei

This paper develops a Golden Gate Assembly-based reverse genetics system for avian infectious bronchitis virus to enable rapid generation of mutants and gene replacements.

This paper introduces a 2D DNA-based data storage system that encodes information in both sequence and backbone structure, using machine learning for error correction and data reconstruction.

This paper introduces an extended 11-letter DNA alphabet for data storage, using nanopore readout and neural networks to improve accuracy and density.

This paper proposes a method to store quantized images in DNA using signal processing and machine learning to reduce errors and costs without redundant oligos or rewriting.