Oxford Nanopore
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.