第三代测序质量

Q3 Chemistry

Journal of Computational and Theoretical Nanoscience Pub Date : 2020-12-01 DOI:10.1166/JCTN.2020.9630

A. Elbialy, M. El-Dosuky, I. El-Henawy

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引用次数: 0

摘要

第三代测序（TGS）涉及长读取，但具有相对较高的错误率。TGS的质量是一个热门话题，处理错误。本文结合并研究了三个与质量相关的指标。它们是基于调用的准确性、Phred质量分数和GC内容。为了保证基调用的准确性，采用了深度神经网络。实测损失不超过5.42。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Quality of Third Generation Sequencing

Third generation sequencing (TGS) relates to long reads but with relatively high error rates. Quality of TGS is a hot topic, dealing with errors. This paper combines and investigates three quality related metrics. They are basecalling accuracy, Phred Quality Scores, and GC content. For basecalling accuracy, a deep neural network is adopted. The measured loss does not exceed 5.42.

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来源期刊

Journal of Computational and Theoretical Nanoscience 工程技术-材料科学：综合

自引率

0.00%

发文量

审稿时长

3.9 months

期刊介绍： Information not localized