R&D: Highly Accurate Sequence-and Position-Independent Error Profiling of DNA Synthesis and Sequencing

ACS Synthetic Biology has published an article written by Huiran Yeom, Division of Data Science, College of Information and Communication Technology, The University of Suwon, Hwaseong 18323, Republic of Korea, Namphil Kim, Department of Electrical and Computer Engineering, Seoul National University, Seoul 08826, South Korea, Amos Chungwon Lee, Meteor Biotech, Co. Ltd., Seoul 08813, Republic of Korea, Jinhyun Kim, Department of Electrical and Computer Engineering, Seoul National University, Seoul 08826, South Korea, Hamin Kim, Department of Interdisciplinary Program for Bioengineering, Seoul National University, Seoul 08826, South Korea, Hansol Choi, Bio-MAX Institute, Seoul National University, Seoul 08826, Republic of Korea, Seo Woo Song, Basic Science and Engineering Initiative, Children’s Heart Center, Stanford University, Stanford, California 94304, United States, Sunghoon Kwon, Department of Electrical and Computer Engineering, Seoul National University, Seoul 08826, South Korea, Department of Interdisciplinary Program for Bioengineering, Seoul National University, Seoul 08826, South Korea, and Bio-MAX Institute, Seoul National University, Seoul 08826, Republic of Korea, and Yeongjae Choi, School of Materials Science and Engineering, Gwangju Institute of Science and Technology (GIST), Gwangju 61105, Republic of Korea.

Abstract: “A comprehensive error analysis of DNA-stored data during processing, such as DNA synthesis and sequencing, is crucial for reliable DNA data storage. Both synthesis and sequencing errors depend on the sequence and the transition of bases of nucleotides; ignoring either one of the error sources leads to technical challenges in minimizing the error rate. Here, we present a methodology and toolkit that utilizes an oligonucleotide library generated from a 10-base-shifted sequence array, which is individually labeled with unique molecular identifiers, to delineate and profile DNA synthesis and sequencing errors simultaneously. This methodology enables position- and sequence-independent error profiling of both DNA synthesis and sequencing. Using this toolkit, we report base transitional errors in both synthesis and sequencing in general DNA data storage as well as degenerate-base-augmented DNA data storage. The methodology and data presented will contribute to the development of DNA sequence designs with minimal error.“