{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,29]],"date-time":"2024-10-29T10:08:17Z","timestamp":1730196497670,"version":"3.28.0"},"reference-count":45,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,11,11]],"date-time":"2022-11-11T00:00:00Z","timestamp":1668124800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,11,11]],"date-time":"2022-11-11T00:00:00Z","timestamp":1668124800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,11,11]]},"DOI":"10.1109\/apccas55924.2022.10090281","type":"proceedings-article","created":{"date-parts":[[2023,4,11]],"date-time":"2023-04-11T17:25:39Z","timestamp":1681233939000},"page":"35-40","source":"Crossref","is-referenced-by-count":0,"title":["Hierarchical DNN with Heterogeneous Computing Enabled High-Performance DNA Sequencing"],"prefix":"10.1109","author":[{"given":"Shaobo","family":"Luo","sequence":"first","affiliation":[{"name":"GeneSense Technology Inc.,Shanghai,China,201210"}]},{"given":"Zhiyuan","family":"Xie","sequence":"additional","affiliation":[{"name":"GeneSense Technology Inc.,Shanghai,China,201210"}]},{"given":"Gengxin","family":"Chen","sequence":"additional","affiliation":[{"name":"GeneSense Technology Inc.,Shanghai,China,201210"}]},{"given":"Lei","family":"Cui","sequence":"additional","affiliation":[{"name":"GeneSense Technology Inc.,Shanghai,China,201210"}]},{"given":"Mei","family":"Yan","sequence":"additional","affiliation":[{"name":"GeneSense Technology Inc.,Shanghai,China,201210"}]},{"given":"Xiwei","family":"Huang","sequence":"additional","affiliation":[{"name":"Hangzhou Dianzi University,Ministry of Education Key Laboratory of RF Circuits and Systems,Hangzhou,China,310018"}]},{"given":"Shuwei","family":"Li","sequence":"additional","affiliation":[{"name":"School of Microelectronics, Southern University of Science and Technology,Shenzhen,China,518055"}]},{"given":"Changhai","family":"Man","sequence":"additional","affiliation":[{"name":"School of Microelectronics, Southern University of Science and Technology,Shenzhen,China,518055"}]},{"given":"Wei","family":"Mao","sequence":"additional","affiliation":[{"name":"School of Microelectronics, Southern University of Science and Technology,Shenzhen,China,518055"}]},{"given":"Hao","family":"Yu","sequence":"additional","affiliation":[{"name":"School of Microelectronics, Southern University of Science and Technology,Shenzhen,China,518055"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ISCAS.2016.7539035"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2015.2419233"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/VLSIC.2014.6858409"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ASICON.2015.7516976"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-021-86498-3"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1038\/s42003-018-0261-x"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.jpha.2020.02.010"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1038\/nrc.2017.82"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1038\/nprot.2016.182"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1038\/nature24286"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1002\/cpmb.59"},{"volume-title":"NextSeq 550","key":"ref12"},{"volume-title":"MGISEQ-200","key":"ref13"},{"issue":"2","key":"ref14","first-page":"109","article-title":"Review on recent image segmentation techniques","volume":"5","author":"Seerha","year":"2013","journal-title":"Int. J. Comput. Sci. Eng."},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1186\/gb-2012-13-2-r13"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1093\/bib\/bbv088"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1038\/nmeth.1230"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1093\/bib\/bbq077"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR48806.2021.9412860"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1113\/jphysiol.1968.sp008455"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/BF00344251"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.5555\/2999134.2999257"},{"journal-title":"ArXiv Prepr.","article-title":"Very deep convolutional networks for large-scale image recognition","year":"2014","author":"Simonyan","key":"ref23"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1039\/d1ra02869c"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2437384"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.169"},{"key":"ref28","first-page":"91","article-title":"Faster R-CNN: Towards real-time object detection with region proposal networks","author":"Ren","year":"2015","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2644615"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1802.02611"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2991187"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1162\/neco_a_01199"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/W14-4012"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1093\/gigascience\/giy037"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC48229.2022.9871730"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1186\/s12864-021-07736-6"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1186\/s13059-018-1462-9"},{"key":"ref40","first-page":"4","article-title":"Basecalling Raw Nanopore DNA Sequencing Reads using Neural Networks","volume-title":"25th Mini-Symposium","author":"Bork\u00f3","year":"2018"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"volume-title":"Escherichia phage phiX174, complete genome - Nucleotide - NCBI","key":"ref42"},{"journal-title":"Technical note: sequencing. Illumina, Inc San Diego, CA","article-title":"Using a PhiX control for HiSeq\u00ae sequencing runs","year":"2016","author":"Illumina","key":"ref43"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1101\/gr.8.3.186"},{"key":"ref45","article-title":"Quality scores for next-generation sequencing","volume":"31","author":"Illumina","year":"2011","journal-title":"Tech. Note Inform."}],"event":{"name":"2022 IEEE Asia Pacific Conference on Circuits and Systems (APCCAS)","start":{"date-parts":[[2022,11,11]]},"location":"Shenzhen, China","end":{"date-parts":[[2022,11,13]]}},"container-title":["2022 IEEE Asia Pacific Conference on Circuits and Systems (APCCAS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10090225\/10090247\/10090281.pdf?arnumber=10090281","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,3]],"date-time":"2024-03-03T11:30:28Z","timestamp":1709465428000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10090281\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,11,11]]},"references-count":45,"URL":"https:\/\/doi.org\/10.1109\/apccas55924.2022.10090281","relation":{},"subject":[],"published":{"date-parts":[[2022,11,11]]}}}