中文版 | English
Title

Hierarchical DNN with Heterogeneous Computing Enabled High-Performance DNA Sequencing

Author
Corresponding AuthorMei Yan; Hao Yu
DOI
Publication Years
2022
Conference Name
IEEE Asia Pacific Conference on Circuits and Systems (APCCAS)
ISBN
978-1-6654-5080-5
Source Title
Pages
35-40
Conference Date
NOV 11-13, 2022
Conference Place
So Univ Sci & Technol,Shenzhen,PEOPLES R CHINA
Publication Place
345 E 47TH ST, NEW YORK, NY 10017 USA
Publisher
Abstract
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.
Keywords
SUSTech Authorship
Corresponding
Language
English
URL[Source Record]
Indexed By
WOS Research Area
Computer Science ; Engineering
WOS Subject
Computer Science, Hardware & Architecture ; Engineering, Electrical & Electronic
WOS Accession No
WOS:000987045300008
Data Source
Web of Science
PDF urlhttps://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10090281
Citation statistics
Cited Times [WOS]:0
Document TypeConference paper
Identifierhttp://kc.sustech.edu.cn/handle/2SGJ60CL/519915
DepartmentSUSTech Institute of Microelectronics
Affiliation
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
Corresponding Author AffilicationSUSTech Institute of Microelectronics
Recommended Citation
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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