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Updated: May 31, 2026

Automated Robotic Liquid Handling Assembly of Modular DNA Devices
Published on: December 1, 2017
A DNA assembly model of sentence generation
Ji-Hoon Lee1, Seung Hwan Lee, Won-Hyong Chung
1Graduate Program in Bioinformatics, Seoul National University, Simlim-dong, Gwanak-gu, Republic of Korea. jhlee@bi.snu.ac.kr
Abstract:
Recent results of corpus-based linguistics demonstrate that context-appropriate sentences can be generated by a stochastic constraint satisfaction process. Exploiting the similarity of constraint satisfaction and DNA self-assembly, we explore a DNA assembly model of sentence generation. The words and phrases in a language corpus are encoded as DNA molecules to build a language model of the corpus. Given a seed word, the new sentences are constructed by a parallel DNA assembly process based on the probability distribution of the word and phrase molecules. Here, we present our DNA code word design and report on successful demonstration of their feasibility in wet DNA experiments of a small scale.
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