A first look at the Oxford Nanopore MinION sequencer
By Alexander S. Mikheyev, M. Tin. Molecular Ecology Resources, 2014
437 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Ecology, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/18bd7cc631398a2b73dfcddb9c89afef604b0d83
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Biomedical Engineering
In Ecology
In Molecular Biology
- Broňa Brejová
- Tomás Vinar
- Mark Akeson
- Benedict Paten
- Miten Jain
- Vladimír Boza
- Karen H. Miga
- Hugh E. Olsen
Citations in the corpus
- Accurate circular consensus long-read sequencing improves variant detection and assembly of a human genome (2019, neutral): “19,20 .”
- Improved data analysis for the MinION nanopore sequencer (2015, result): “Comparisons with prior results 11,20 demonstrated improved read quality during MAP.”
- DeepNano: Deep recurrent neural networks for base calling in MinION nanopore reads (2016, methodology): “In this paper, we introduce the first open-source base caller for the MinION nanopore sequencing platform (Mikheyev and Tin, 2014).”
- Nanopore-based Fourth-generation DNA Sequencing Technology (2015, background): “Although it has a very high error rate (over 90%), an instrument based on nanopore technology that sequences DNA at the scale of a single molecule is currently available on the market [14].”