Oxford Nanopore: Difference between revisions
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[[File: | [[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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== | == 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. | ||
* | * 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
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.