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[[File:MinION_portable_sequencer.png|thumb|right|320px|Oxford Nanopore MinION portable sequencer. Source: Wikimedia Commons, CC BY-SA 4.0.]]
[[File:Oxford_Nanopore_MinION_top_open.jpg|thumb|right|320px|Oxford Nanopore instruments popularized portable long-read sequencing.]]
'''Oxford Nanopore''' is part of the Nanopore Wiki learning path. Oxford Nanopore Technologies develops nanopore sequencing instruments, flow cells, chemistry, and software for real-time DNA and RNA sequencing.
'''Oxford Nanopore''' is part of the Nanopore Wiki learning path. Oxford Nanopore Technologies develops nanopore sequencing instruments, flow cells, chemistry, and software for real-time DNA and RNA sequencing.


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== Scientific basis ==
* The platform reads electrical signals produced as molecules pass through nanopores.
* Device families include portable and higher-throughput instruments.
* Interpretations should be tied to measurable quantities, experimental controls, and documented analysis settings.
* Claims should distinguish direct observations from downstream inference.
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== Typical sequencing workflow ==
== Typical sequencing workflow ==
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== Typical applications ==
== Typical applications ==
* Long-read genome sequencing.
* Long-read genome sequencing.
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* Structural variant and modification detection.
* Structural variant and modification detection.


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== Common pitfalls ==
== Quality checks ==
* Record platform, pore or flow-cell type, chemistry, voltage or acquisition settings, and software versions.
* Use negative controls, positive controls, and replicate measurements where the claim depends on specificity.
* Report limitations such as noise, bias, sample degradation, pore instability, or model-dependent analysis.
* Do not treat vendor specifications as a substitute for application-specific validation.
 
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== Interpretation limits ==
* Comparing results without chemistry and model versions.
* Comparing results without chemistry and model versions.
* Ignoring read quality, pore count, run yield, and sample degradation.
* Ignoring read quality, pore count, run yield, and sample degradation.
* Presenting research use as clinical guidance without validation.
* A single result should not be generalized beyond the sample, protocol, instrument state, and analysis pipeline used.
* Medical, legal, regulatory, or commercial decisions require domain-specific validation beyond this educational summary.


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== Related pages ==
== Related pages ==
* [[MinION]]
* [[MinION]]
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* [[Platforms]]
* [[Platforms]]


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== References ==
== References ==
* [https://en.wikipedia.org/wiki/Oxford_Nanopore_Technologies Oxford Nanopore Technologies]
* [https://en.wikipedia.org/wiki/Oxford_Nanopore_Technologies Oxford Nanopore Technologies]

Latest revision as of 09:24, 15 July 2026

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Oxford Nanopore instruments popularized portable long-read sequencing.

Oxford Nanopore is part of the Nanopore Wiki learning path. Oxford Nanopore Technologies develops nanopore sequencing instruments, flow cells, chemistry, and software for real-time DNA and RNA sequencing.

Core concepts

  • The platform reads electrical signals produced as molecules pass through nanopores.
  • Device families include portable and higher-throughput instruments.
  • Output can include raw signal files, basecalled reads, alignments, and analysis reports.
  • Performance depends on chemistry, flow cell quality, library preparation, basecaller model, and analysis settings.

Scientific basis

  • The platform reads electrical signals produced as molecules pass through nanopores.
  • Device families include portable and higher-throughput instruments.
  • Interpretations should be tied to measurable quantities, experimental controls, and documented analysis settings.
  • Claims should distinguish direct observations from downstream inference.

Typical sequencing workflow

Step Description
1 Prepare DNA or RNA library according to the assay.
2 Load library onto a flow cell and start sequencing.
3 Basecall raw signal into sequence reads and quality scores.
4 Run quality control, alignment, assembly, variant calling, modification calling, or classification.

Typical applications

  • Long-read genome sequencing.
  • Metagenomics and pathogen surveillance.
  • Transcriptomics and direct RNA sequencing.
  • Structural variant and modification detection.

Quality checks

  • Record platform, pore or flow-cell type, chemistry, voltage or acquisition settings, and software versions.
  • Use negative controls, positive controls, and replicate measurements where the claim depends on specificity.
  • Report limitations such as noise, bias, sample degradation, pore instability, or model-dependent analysis.
  • Do not treat vendor specifications as a substitute for application-specific validation.

Interpretation limits

  • Comparing results without chemistry and model versions.
  • Ignoring read quality, pore count, run yield, and sample degradation.
  • A single result should not be generalized beyond the sample, protocol, instrument state, and analysis pipeline used.
  • Medical, legal, regulatory, or commercial decisions require domain-specific validation beyond this educational summary.

References