Search results for "basecalling"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
224	Kuo-ching Liang, Xiaodong Wang 0001, Dimitris Anastassiou	Bayesian Basecalling for DNA Sequence Analysis Using Hidden Markov Models.	IEEE ACM Trans. Comput. Biol. Bioinform.	2007	DBLP DOI BibTeX RDF	Markov chain Monte Carlo (MCMC), electropherogram, basecalling, hidden Markov model (HMM), DNA sequencing
188	David Thornley, Stavros Petridis	Machine Learning in Basecalling Decoding Trace Peak Behaviour.	CIBCB	2006	DBLP DOI BibTeX RDF
82	Anna Tonazzini, Luigi Bedini	Statistical Analysis of Electrophoresis Time Series for Improving Basecalling in DNA Sequencing.	MDA	2007	DBLP DOI BibTeX RDF
58	Meryem Banu Cavlak, Gagandeep Singh 0002, Mohammed Alser, Can Firtina, Joël Lindegger, Mohammad Sadrosadati, Nika Mansouri-Ghiasi, Can Alkan, Onur Mutlu	TargetCall: Eliminating the Wasted Computation in Basecalling via Pre-Basecalling Filtering.	CoRR	2022	DBLP DOI BibTeX RDF
53	David Thornley, Stavros Petridis	Decoding Trace Peak Behaviour - A Neuro-Fuzzy Approach.	FUZZ-IEEE	2007	DBLP DOI BibTeX RDF
29	Taha Shahroodi, Gagandeep Singh 0002, Mahdi Zahedi, Haiyu Mao, Joël Lindegger, Can Firtina, Stephan Wong, Onur Mutlu, Said Hamdioui	Swordfish: A Framework for Evaluating Deep Neural Network-based Basecalling using Computation-In-Memory with Non-Ideal Memristors.	CoRR	2023	DBLP DOI BibTeX RDF
29	Wiktor Kusmirek	Estimated Nucleotide Reconstruction Quality Symbols of Basecalling Tools for Oxford Nanopore Sequencing.	Sensors	2023	DBLP DOI BibTeX RDF
29	Taha Shahroodi, Gagandeep Singh 0002, Mahdi Zahedi, Haiyu Mao, Joël Lindegger, Can Firtina, Stephan Wong, Onur Mutlu, Said Hamdioui	Swordfish: A Framework for Evaluating Deep Neural Network-based Basecalling using Computation-In-Memory with Non-Ideal Memristors.	MICRO	2023	DBLP DOI BibTeX RDF
29	J. White Bear, Grégoire De Bisschop, Eric Lécuyer, Jérôme Waldispühl	Localized, Non-parametric Detection of RNA Structural Modification using Nanopore Basecalling.	BCB	2023	DBLP DOI BibTeX RDF
29	Don Neumann, Anireddy S. N. Reddy, Asa Ben-Hur	RODAN: a fully convolutional architecture for basecalling nanopore RNA sequencing data.	BMC Bioinform.	2022	DBLP DOI BibTeX RDF
29	Haiyu Mao, Mohammed Alser, Mohammad Sadrosadati, Can Firtina, Akanksha Baranwal, Damla Senol Cali, Aditya Manglik, Nour Almadhoun Alserr, Onur Mutlu	GenPIP: In-Memory Acceleration of Genome Analysis via Tight Integration of Basecalling and Read Mapping.	CoRR	2022	DBLP DOI BibTeX RDF
29	Adam Napieralski, Robert Nowak 0002	Basecalling Using Joint Raw and Event Nanopore Data Sequence-to-Sequence Processing.	Sensors	2022	DBLP DOI BibTeX RDF
29	Haiyu Mao, Mohammed Alser, Mohammad Sadrosadati, Can Firtina, Akanksha Baranwal, Damla Senol Cali, Aditya Manglik, Nour Almadhoun Alserr, Onur Mutlu	GenPIP: In-Memory Acceleration of Genome Analysis via Tight Integration of Basecalling and Read Mapping.	MICRO	2022	DBLP DOI BibTeX RDF
29	Alexandra Sneddon, Pablo Acera Mateos, Nikolay Shirokikh, Eduardo Eyras	Language-Informed Basecalling Architecture for Nanopore Direct RNA Sequencing.	MLCB	2022	DBLP BibTeX RDF
29	Shubham Chandak, Kedar Tatwawadi, Srivatsan Sridhar, Tsachy Weissman	Impact of lossy compression of nanopore raw signal data on basecalling and consensus accuracy.	Bioinform.	2021	DBLP DOI BibTeX RDF
29	Piotr Grzesik, Dariusz Mrozek	Serverless Nanopore Basecalling with AWS Lambda.	ICCS (2)	2021	DBLP DOI BibTeX RDF
29	Yao-zhong Zhang, Arda Akdemir, Georg Tremmel, Seiya Imoto, Satoru Miyano, Tetsuo Shibuya, Rui Yamaguchi	Nanopore basecalling from a perspective of instance segmentation.	BMC Bioinform.	2020	DBLP DOI BibTeX RDF
29	Qian Lou, Lei Jiang 0001	BRAWL: A Spintronics-Based Portable Basecalling-in-Memory Architecture for Nanopore Genome Sequencing.	IEEE Comput. Archit. Lett.	2018	DBLP DOI BibTeX RDF
29	Zhongpan Wu, Karim Hammad, Robinson Mittmann, Sebastian Magierowski, Ebrahim Ghafar-Zadeh, Xiaoyong Zhong	FPGA-based DNA Basecalling Hardware Acceleration.	MWSCAS	2018	DBLP DOI BibTeX RDF
29	Thomas S. Rask, Bent Petersen, Donald S. Chen, Karen P. Day, Anders Gorm Pedersen	Using expected sequence features to improve basecalling accuracy of amplicon pyrosequencing data.	BMC Bioinform.	2016	DBLP DOI BibTeX RDF
29	Chengjie Wang, Junli Zheng, Sebastian Magierowski, Ebrahim Ghafar-Zadeh	Embedded CMOS basecalling for nanopore DNA sequencing.	EMBC	2016	DBLP DOI BibTeX RDF
29	Yiyun Huang, Sebastian Magierowski, Ebrahim Ghafar-Zadeh	CMOS for high-speed nanopore DNA basecalling.	ISCAS	2016	DBLP DOI BibTeX RDF
29	Anna Tonazzini, Luigi Bedini	Statistical analysis of electrophoresis time series for improving basecalling in DNA sequencing.	ICDM (Workshops)	2006	DBLP BibTeX RDF
29	Kuo-ching Liang, Xiaodong Wang 0001, Dimitris Anastassiou	Bayesian Basecalling for DNA Sequence Analysis using Hidden Markov Models.	CISS	2006	DBLP DOI BibTeX RDF
29	Yiping Zhan, David Kulp	Model-P: a basecalling method for resequencing microarrays of diploid samples.	ECCB/JBI	2005	DBLP DOI BibTeX RDF
29	Petros Boufounos, Sameh El Difrawy, Dan Ehrlich	Basecalling using hidden Markov models.	J. Frankl. Inst.	2004	DBLP DOI BibTeX RDF
29	James B. Golden III, Deborah Torgersen, Clark Tibbetts	Pattern Recognition for Automated DNA Sequencing: I. On-Line Signal Conditioning and Feature Extraction for Basecalling.	ISMB	1993	DBLP BibTeX RDF