{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,21]],"date-time":"2025-08-21T18:43:56Z","timestamp":1755801836788,"version":"3.44.0"},"reference-count":30,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,11,1]],"date-time":"2019-11-01T00:00:00Z","timestamp":1572566400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,11,1]],"date-time":"2019-11-01T00:00:00Z","timestamp":1572566400000},"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":[[2019,11]]},"DOI":"10.1109\/bibm47256.2019.8983231","type":"proceedings-article","created":{"date-parts":[[2020,2,7]],"date-time":"2020-02-07T02:49:51Z","timestamp":1581043791000},"page":"390-394","source":"Crossref","is-referenced-by-count":10,"title":["An attention-based neural network basecaller for Oxford Nanopore sequencing data"],"prefix":"10.1109","author":[{"given":"Neng","family":"Huang","sequence":"first","affiliation":[{"name":"School of Computer Science and Engineering, Central South University,Changsha,China"}]},{"given":"Fan","family":"Nie","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Central South University,Changsha,China"}]},{"given":"Peng","family":"Ni","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Central South University,Changsha,China"}]},{"given":"Feng","family":"Luo","sequence":"additional","affiliation":[{"name":"School of Computing, Clemson University,South Carolina,USA"}]},{"given":"Jianxin","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Central South University,Changsha,China"}]}],"member":"263","reference":[{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/bty191"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1038\/nmeth.4184"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1038\/nbt.2181"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1186\/s13059-019-1727-y"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-10-5122-7_61"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1038\/nbt.2171"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1038\/nbt.2147"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btw569"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0178751"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1093\/gigascience\/giy037"},{"key":"ref19","first-page":"1097","article-title":"Imagenet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Advances in neural information processing systems"},{"journal-title":"Adam A method for stochastic optimization","year":"2014","author":"kingma","key":"ref28"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1038\/nmeth.3290"},{"key":"ref27","article-title":"Language models are unsupervised multitask learners","volume":"1","author":"radford","year":"2019","journal-title":"OpenAIRE blog"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1038\/nmeth.2474"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1038\/nbt.2280"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1186\/s13059-018-1540-z"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1038\/ncomms11307"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1038\/ncomms12065"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1038\/nature20098"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1126\/science.1162986"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1146\/annurev-anchem-061516-045228"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1093\/hmg\/ddq416"},{"key":"ref20","first-page":"5998","article-title":"Attention is all you need","author":"vaswani","year":"0","journal-title":"Advances in neural information processing systems"},{"key":"ref22","first-page":"94672","author":"stoiber","year":"2016","journal-title":"De novo identification of dna modifications enabled by genome-guided nanopore signal processing"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/1143844.1143891"},{"journal-title":"Batch Normalization Accelerating Deep Network Training by Reducing Internal Covariate Shift","year":"2015","author":"ioffe","key":"ref24"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1989.1.4.541"},{"journal-title":"BERT Pre-training of deep bidirectional transformers for language understanding","year":"2018","author":"devlin","key":"ref26"},{"key":"ref25","first-page":"807","article-title":"Rectified linear units improve restricted boltzmann machines","author":"nair","year":"0","journal-title":"Proceedings of the 27th International Conference on Machine Learning (ICML-10)"}],"event":{"name":"2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","start":{"date-parts":[[2019,11,18]]},"location":"San Diego, CA, USA","end":{"date-parts":[[2019,11,21]]}},"container-title":["2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8965270\/8982928\/08983231.pdf?arnumber=8983231","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,20]],"date-time":"2025-08-20T18:36:22Z","timestamp":1755714982000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8983231\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,11]]},"references-count":30,"URL":"https:\/\/doi.org\/10.1109\/bibm47256.2019.8983231","relation":{},"subject":[],"published":{"date-parts":[[2019,11]]}}}