[HTML][HTML] DeepNano: deep recurrent neural networks for base calling in MinION nanopore reads

V Boža, B Brejová, T Vinař - PloS one, 2017 - journals.plos.org
The MinION device by Oxford Nanopore produces very long reads (reads over 100 kBp
were reported); however it suffers from high sequencing error rate. We present an open …

DeepNano: Deep recurrent neural networks for base calling in MinION nanopore reads

V Boža, B Brejová, T Vinař - PLOS ONE, 2017 - econpapers.repec.org
The MinION device by Oxford Nanopore produces very long reads (reads over 100 kBp
were reported); however it suffers from high sequencing error rate. We present an open …

DeepNano: Deep recurrent neural networks for base calling in MinION nanopore reads.

V Boža, B Brejová, T Vinař - Plos one, 2017 - europepmc.org
Abstract The MinION device by Oxford Nanopore produces very long reads (reads over 100
kBp were reported); however it suffers from high sequencing error rate. We present an open …

[引用][C] DeepNano: Deep recurrent neural networks for base calling in MinION nanopore reads

V Boža, B Brejová, T Vinař - PLOS ONE, 2017 - cir.nii.ac.jp
DeepNano: Deep recurrent neural networks for base calling in MinION nanopore reads |
CiNii Research CiNii 国立情報学研究所 学術情報ナビゲータ[サイニィ] 詳細へ移動 検索フォーム …

DeepNano: Deep Recurrent Neural Networks for Base Calling in MinION Nanopore Reads

V Boža, B Brejová, T Vinař - arXiv preprint arXiv:1603.09195, 2016 - arxiv.org
Motivation: The MinION device by Oxford Nanopore is the first portable sequencing device.
MinION is able to produce very long reads (reads over 100~ kBp were reported), however it …

[HTML][HTML] DeepNano: Deep recurrent neural networks for base calling in MinION nanopore reads

V Boža, B Brejová, T Vinař - PLoS ONE, 2017 - ncbi.nlm.nih.gov
Abstract The MinION device by Oxford Nanopore produces very long reads (reads over 100
kBp were reported); however it suffers from high sequencing error rate. We present an open …

DeepNano: Deep recurrent neural networks for base calling in MinION nanopore reads

V Boža, B Brejová, T Vinař - PLoS ONE, 2017 - ui.adsabs.harvard.edu
Abstract Motivation: The MinION device by Oxford Nanopore is the first portable sequencing
device. MinION is able to produce very long reads (reads over 100~ kBp were reported) …

DeepNano: Deep recurrent neural networks for base calling in MinION nanopore reads

V Boza, B Brejova, T Vinar - PLoS ONE, 2017 - go.gale.com
The MinION device by Oxford Nanopore produces very long reads (reads over 100 kBp
were reported); however it suffers from high sequencing error rate. We present an open …

DeepNano: Deep recurrent neural networks for base calling in MinION nanopore reads

V Boža, B Brejová, T Vinař - PloS one, 2017 - pubmed.ncbi.nlm.nih.gov
The MinION device by Oxford Nanopore produces very long reads (reads over 100 kBp
were reported); however it suffers from high sequencing error rate. We present an open …

DeepNano: Deep recurrent neural networks for base calling in MinION nanopore reads.

V Boža, B Brejová, T Vinař - PLoS ONE, 2017 - search.ebscohost.com
Abstract The MinION device by Oxford Nanopore produces very long reads (reads over 100
kBp were reported); however it suffers from high sequencing error rate. We present an open …