Article
A deep learning model for predicting next-generation sequencing depth from DNA sequence.
Nature communications - 19 Jul 2021
Zhang Jinny X, Yordanov Boyan, Gaunt Alexander, Wang Michael X, Dai Peng, Chen Yuan-Jyue, Zhang Kerou, Fang John Z, Dalchau Neil, Li Jiaming, Phillips Andrew, Zhang David Yu
Abstract excerpt
Targeted high-throughput DNA sequencing is a primary approach for genomics and molecular diagnostics, and more recently as a readout for DNA information storage. Oligonucleotide probes used to enrich gene loci of interest have different hybridization kinetics, resulting in non-uniform coverage that increases sequencing costs and decreases sequencing sensitivities. Here, we present a deep learning model (DLM) for...
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