Empowering low-crosstalk, dynamic-decision random access of DNA storage via 384-multiplexed nanopore signatures.

ABSTRACT: On-demand access to information encoded in nucleotides lies at the heart of DNA/RNA applications. However, contemporary methods for targeted retrieval using PCR amplification or bead-based extraction, rely on Watson-Crick base pairing and pre-defined primers, limiting dynamic decision-making whilst sequencing. We introduce SUSTag-ORCtrL, a nanopore-based system enables real-time, PCR-free random access to DNA-stored data by directly classifying raw ionic current signatures of 96 or 384-plex DNA molecular tags. Our framework combines SUSTag, a Bhattacharyya distance and incremental clustering enhanced molecular tag design (SUSTag) to minimize crosstalk, with an Optional-Reject Cnn-lstm deep learning model inspired by TRansfer-Learning (ORCtrL), designed to enhance adaptability to signal var

SUBMITTER: Li J 

PROVIDER: S-EPMC12534545 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature