Data analysis - Revision history

Nano: Expand Nanopore Wiki source page with structured educational content

2026-07-15T01:25:03Z

Expand Nanopore Wiki source page with structured educational content

← Older revision		Revision as of 09:25, 15 July 2026
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	[[File:~~Patch_clamp_schematic_1~~.~~png~~\|thumb\|right\|320px\|~~Peak or event detection concepts support nanopore signal~~ analysis~~. Source: Wikimedia Commons~~, ~~CC BY-SA 4.0~~.]]		[[File:Oxford_Nanopore_MinION_top_open.jpg\|thumb\|right\|320px\|Nanopore data analysis links instruments, file formats, and computational pipelines.]]
	'''Data analysis''' is part of the Nanopore Wiki learning path. Nanopore data analysis extracts reliable events, features, and conclusions from raw current traces or sequencing output.		'''Data analysis''' is part of the Nanopore Wiki learning path. Nanopore data analysis extracts reliable events, features, and conclusions from raw current traces or sequencing output.

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			== Scientific basis ==
			* For sensing, raw data are often current-versus-time traces.
			* For sequencing, data may include POD5, FAST5, FASTQ, BAM, and reports.
			* 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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	== Analysis workflow ==		== Analysis workflow ==
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	== Typical applications ==		== Typical applications ==
	* Single-molecule sensing.		* Single-molecule sensing.
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	* Method comparison and troubleshooting.		* Method comparison and troubleshooting.

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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.
			* Keep laboratory metadata linked to the raw signal or sequencing run before interpreting results.

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			== Interpretation limits ==
	* Showing only attractive example traces.		* Showing only attractive example traces.
	* Changing thresholds until expected results appear.		* Changing thresholds until expected results appear.
	* ~~Publishing feature tables without raw~~-~~data provenance~~.		* 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 ==
	* [[Event detection]]		* [[Event detection]]
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	* [[Experimental workflows]]		* [[Experimental workflows]]

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	== References ==		== References ==
	* [https://en.wikipedia.org/wiki/Signal_processing Signal processing]		* [https://en.wikipedia.org/wiki/Signal_processing Signal processing]

Nano: Use topic-specific Wikimedia Commons illustrations

2026-07-02T08:47:50Z

Use topic-specific Wikimedia Commons illustrations

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	[[File:~~Detection pics scipy signal find peaks~~.~~svg~~\|thumb\|right\|320px\|Peak or event detection concepts support nanopore signal analysis. Source: Wikimedia Commons, CC BY-SA 4.0.]]		[[File:Patch_clamp_schematic_1.png\|thumb\|right\|320px\|Peak or event detection concepts support nanopore signal analysis. Source: Wikimedia Commons, CC BY-SA 4.0.]]
	'''Data analysis''' is part of the Nanopore Wiki learning path. Nanopore data analysis extracts reliable events, features, and conclusions from raw current traces or sequencing output.		'''Data analysis''' is part of the Nanopore Wiki learning path. Nanopore data analysis extracts reliable events, features, and conclusions from raw current traces or sequencing output.

Nano: Restore visible brand name to Nanopore Wiki

2026-06-30T03:48:05Z

Restore visible brand name to Nanopore Wiki

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	'''Data analysis''' is part of the Wiki learning path. Nanopore data analysis extracts reliable events, features, and conclusions from raw current traces or sequencing output.		'''Data analysis''' is part of the Nanopore Wiki learning path. Nanopore data analysis extracts reliable events, features, and conclusions from raw current traces or sequencing output.

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2026-06-30T03:42:54Z

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	[[File:Detection pics scipy signal find peaks.svg\|thumb\|right\|320px\|Peak or event detection concepts support nanopore signal analysis. Source: Wikimedia Commons, CC BY-SA 4.0.]]		[[File:Detection pics scipy signal find peaks.svg\|thumb\|right\|320px\|Peak or event detection concepts support nanopore signal analysis. Source: Wikimedia Commons, CC BY-SA 4.0.]]
	'''Data analysis''' is part of the ~~Nanopore~~ Wiki learning path. Nanopore data analysis extracts reliable events, features, and conclusions from raw current traces or sequencing output.		'''Data analysis''' is part of the Wiki learning path. Nanopore data analysis extracts reliable events, features, and conclusions from raw current traces or sequencing output.

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Nano: Use topic-specific Wikimedia Commons illustrations

2026-06-30T02:57:07Z

Use topic-specific Wikimedia Commons illustrations

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	[[File:~~Nanopore_sequencing_principle~~.~~png~~\|thumb\|right\|320px\|~~Nanopore sequencing principle~~. ~~Openly licensed schematic used as a general visual guide~~.]]		[[File:Detection pics scipy signal find peaks.svg\|thumb\|right\|320px\|Peak or event detection concepts support nanopore signal analysis. Source: Wikimedia Commons, CC BY-SA 4.0.]]
	'''Data analysis''' is part of the Nanopore Wiki learning path. Nanopore data analysis extracts reliable events, features, and conclusions from raw current traces or sequencing output.		'''Data analysis''' is part of the Nanopore Wiki learning path. Nanopore data analysis extracts reliable events, features, and conclusions from raw current traces or sequencing output.

Nano: Expand Nanopore Wiki source page with structured educational content

2026-06-30T02:12:00Z

Expand Nanopore Wiki source page with structured educational content

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[[File:Nanopore_sequencing_principle.png|thumb|right|320px|Nanopore sequencing principle. Openly licensed schematic used as a general visual guide.]]
'''Data analysis''' is part of the Nanopore Wiki learning path. Nanopore data analysis extracts reliable events, features, and conclusions from raw current traces or sequencing output.


== Core concepts ==
* For sensing, raw data are often current-versus-time traces.
* For sequencing, data may include POD5, FAST5, FASTQ, BAM, and reports.
* Analysis should preserve true event features while controlling noise, drift, and artifacts.
* Quality control should be performed before and after feature extraction.


== Analysis workflow ==
{| class="wikitable np-knowledge-table"
! Step
! Description
|-
| 1
| Organize metadata and raw files.
|-
| 2
| Assess baseline, noise, and drift.
|-
| 3
| Filter or detrend only with documented parameters.
|-
| 4
| Detect events and extract features such as blockade depth and dwell time.
|-
| 5
| Visualize both representative traces and population statistics.
|}


== Typical applications ==
* Single-molecule sensing.
* Sequencing quality control.
* Method comparison and troubleshooting.


== Common pitfalls ==
* Showing only attractive example traces.
* Changing thresholds until expected results appear.
* Publishing feature tables without raw-data provenance.


== Related pages ==
* [[Event detection]]
* [[Noise and filtering]]
* [[Bioinformatics]]
* [[Experimental workflows]]


== References ==
* [https://en.wikipedia.org/wiki/Signal_processing Signal processing]
* [https://en.wikipedia.org/wiki/Data_analysis Data analysis]
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