Bioinformatics: Difference between revisions
Expand Nanopore Wiki source page with structured educational content |
Expand Nanopore Wiki source page with structured educational content |
||
| (5 intermediate revisions by the same user not shown) | |||
| Line 2: | Line 2: | ||
<translate> | <translate> | ||
<!--T:1--> | <!--T:1--> | ||
[[File: | [[File:Nanopore_DNA_sequencing.png|thumb|right|320px|Nanopore bioinformatics converts raw signal into interpretable sequence evidence.]] | ||
'''Bioinformatics''' is part of the Nanopore Wiki learning path. Nanopore bioinformatics converts raw signals and reads into interpretable sequence, alignment, assembly, variant, modification, and classification results. | '''Bioinformatics''' is part of the Nanopore Wiki learning path. Nanopore bioinformatics converts raw signals and reads into interpretable sequence, alignment, assembly, variant, modification, and classification results. | ||
| Line 13: | Line 13: | ||
<!--T:3--> | <!--T:3--> | ||
== Scientific basis == | |||
* Basecalling converts raw signal into sequence and quality values. | |||
* Read quality, length distribution, adapters, contamination, and coverage shape downstream results. | |||
* Interpretations should be tied to measurable quantities, experimental controls, and documented analysis settings. | |||
* Claims should distinguish direct observations from downstream inference. | |||
<!--T:4--> | |||
== Sequencing data workflow == | == Sequencing data workflow == | ||
{| class="wikitable np-knowledge-table" | {| class="wikitable np-knowledge-table" | ||
| Line 34: | Line 41: | ||
|} | |} | ||
<!--T: | <!--T:5--> | ||
== Typical applications == | == Typical applications == | ||
* Genome assembly. | * Genome assembly. | ||
| Line 41: | Line 48: | ||
* RNA sequencing and modification detection. | * RNA sequencing and modification detection. | ||
<!--T: | <!--T:6--> | ||
== | == 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. | |||
* Keep laboratory metadata linked to the raw signal or sequencing run before interpreting results. | |||
<!--T:7--> | |||
== Interpretation limits == | |||
* Using a pipeline without recording model versions. | * Using a pipeline without recording model versions. | ||
* Ignoring contamination and coverage bias. | * Ignoring contamination and coverage bias. | ||
* | * 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. | |||
<!--T: | <!--T:8--> | ||
== Related pages == | == Related pages == | ||
* [[Nanopore sequencing]] | * [[Nanopore sequencing]] | ||
| Line 54: | Line 69: | ||
* [[Glossary]] | * [[Glossary]] | ||
<!--T: | <!--T:9--> | ||
== References == | == References == | ||
* [https://en.wikipedia.org/wiki/Bioinformatics Bioinformatics] | * [https://en.wikipedia.org/wiki/Bioinformatics Bioinformatics] | ||
Latest revision as of 09:25, 15 July 2026
Bioinformatics is part of the Nanopore Wiki learning path. Nanopore bioinformatics converts raw signals and reads into interpretable sequence, alignment, assembly, variant, modification, and classification results.
Core concepts
- Basecalling converts raw signal into sequence and quality values.
- Read quality, length distribution, adapters, contamination, and coverage shape downstream results.
- Long reads support assembly and structural variant discovery but still require quality-aware analysis.
- Model and software versions are part of the scientific record.
Scientific basis
- Basecalling converts raw signal into sequence and quality values.
- Read quality, length distribution, adapters, contamination, and coverage shape downstream results.
- Interpretations should be tied to measurable quantities, experimental controls, and documented analysis settings.
- Claims should distinguish direct observations from downstream inference.
Sequencing data workflow
| Step | Description |
|---|---|
| 1 | Collect raw signal and run metadata. |
| 2 | Basecall into reads and quality scores. |
| 3 | Run quality control and filtering. |
| 4 | Align, assemble, classify, call variants, or detect modifications according to the question. |
| 5 | Report tools, versions, parameters, and reference data. |
Typical applications
- Genome assembly.
- Structural variant detection.
- Metagenomics and pathogen classification.
- RNA sequencing 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.
- Keep laboratory metadata linked to the raw signal or sequencing run before interpreting results.
Interpretation limits
- Using a pipeline without recording model versions.
- Ignoring contamination and coverage bias.
- 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.