Oxford Nanopore: Difference between revisions
Appearance
Shorten visible site name to Wiki Tag: Reverted |
Restore visible brand name to Nanopore Wiki Tag: Manual revert |
||
| Line 3: | Line 3: | ||
<!--T:1--> | <!--T:1--> | ||
[[File:Oxford Nanopore MinION side.jpg|thumb|right|320px|Oxford Nanopore MinION portable sequencer. Source: Wikimedia Commons, CC BY-SA 4.0.]] | [[File:Oxford Nanopore MinION side.jpg|thumb|right|320px|Oxford Nanopore MinION portable sequencer. Source: Wikimedia Commons, CC BY-SA 4.0.]] | ||
'''Oxford Nanopore''' is part of the 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. | ||
<!--T:2--> | <!--T:2--> | ||
Revision as of 11:47, 30 June 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.
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.
Common pitfalls
- Comparing results without chemistry and model versions.
- Ignoring read quality, pore count, run yield, and sample degradation.
- Presenting research use as clinical guidance without validation.