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A deep learning model for predicting next-generation sequencing depth from DNA sequence

Biology

A deep learning model for predicting next-generation sequencing depth from DNA sequence

J. X. Zhang, B. Yordanov, et al.

Discover groundbreaking advancements in targeted high-throughput DNA sequencing! This exciting research by Jinny X. Zhang and colleagues at Rice University and Microsoft Research introduces a deep learning model that accurately predicts sequencing depth and hybridization kinetics. Dive into the future of genomics and molecular diagnostics through innovative algorithms and deep learning techniques.

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