题名 | Hierarchical DNN with Heterogeneous Computing Enabled High-Performance DNA Sequencing |
作者 | |
通讯作者 | Mei Yan; Hao Yu |
DOI | |
发表日期 | 2022
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会议名称 | IEEE Asia Pacific Conference on Circuits and Systems (APCCAS)
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ISBN | 978-1-6654-5080-5
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会议录名称 | |
页码 | 35-40
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会议日期 | NOV 11-13, 2022
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会议地点 | So Univ Sci & Technol,Shenzhen,PEOPLES R CHINA
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出版地 | 345 E 47TH ST, NEW YORK, NY 10017 USA
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出版者 | |
摘要 | DNA sequencing is a popular tool to demystify the code of living organisms and is reforming the medical, pharmaceutical and biotech industries. The Next-Generation Sequencing (NGS) plays a vital role in high-throughput DNA sequencing with massively parallel data generation. Nevertheless, the massive amount of data imposes great challenges for data analysis. It is arduous to reach a low error rate for handling noisy and/or biased signals owing to the imperfect biochemical reactions and imaging systems. Furthermore, a homogeneous computing system lacks computing power and memory bandwidth. Therefore, in this work, a heterogeneous computing platform with a hierarchical deep neural network sequencing pipeline is proposed to improve the sequencing quality and increase processing speed. Experiments demonstrate that the proposed work reached higher effective throughput (12.18% more clusters found), lower error rate (0.0175%), higher quality score (%Q30 99.27%), and 19% faster. The reported work empowers virus detection, diseases diagnostic, and other potential biomedical applications. |
关键词 | |
学校署名 | 通讯
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语种 | 英语
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相关链接 | [来源记录] |
收录类别 | |
WOS研究方向 | Computer Science
; Engineering
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WOS类目 | Computer Science, Hardware & Architecture
; Engineering, Electrical & Electronic
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WOS记录号 | WOS:000987045300008
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来源库 | Web of Science
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全文链接 | https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10090281 |
引用统计 |
被引频次[WOS]:0
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成果类型 | 会议论文 |
条目标识符 | http://sustech.caswiz.com/handle/2SGJ60CL/519915 |
专题 | 工学院_深港微电子学院 |
作者单位 | 1.GeneSense Technology Inc., Shanghai 201210 2.School of Microelectronics, Southern University of Science and Technology 3.Ministry of Education Key Laboratory of RF Circuits and Systems, Hangzhou Dianzi University |
通讯作者单位 | 深港微电子学院 |
推荐引用方式 GB/T 7714 |
Shaobo Luo,,Zhiyuan Xie,Gengxin Chen,et al. Hierarchical DNN with Heterogeneous Computing Enabled High-Performance DNA Sequencing[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE,2022:35-40.
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条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | 操作 | |
Hierarchical DNN wit(1754KB) | -- | -- | 限制开放 | -- |
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