A Low-Complexity Deep Learning Model for Predicting Targeted Sequencing Depth from Probe Sequence

A Low-Complexity Deep Learning Model for Predicting Targeted Sequencing Depth from Probe Sequence

Targeted sequencing has been widely utilized for genomic molecular diagnostics and the emerging DNA data storage paradigm. However, the probe sequences used to enrich regions of interest have different hybridization kinetic properties, resulting in poor sequencing uniformity and setting limitations...

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Bibliographic Details
Main Authors: Yibo Feng, Quan Guo, Weigang Chen, Changcai Han
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Applied Sciences
Subjects:
targeted sequencing
sequencing depth
bidirectional long short-term memory network
attention mechanism
Online Access:https://www.mdpi.com/2076-3417/13/12/6996

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https://www.mdpi.com/2076-3417/13/12/6996

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