Toolbox for preprocessing of metabolic profiling datasets
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The nPYc toolbox offers functions for the import, preprocessing, and QC of metabolic profiling datasets.
Documentation can be found on `Read the Docs <http://npyc-toolbox.readthedocs.io/en/latest/?badge=latest>`_.
Imports
- Peak-picked LC-MS data (XCMS, Progenesis QI, *&* Metaboscape)
- Raw NMR spectra (Bruker format)
- Targeted datasets (TargetLynx, Bruker BI-LISA, *&* BI-Quant-Ur)
Provides
- Batch *&* drift correction for LC-MS datasets
- Feature filtering by RSD *&* linearity of response
- Calculation of spectral line-width in NMR
- PCA of datasets
- Visualisation of datasets
Exports
- Basic tabular csv
- `ISA-TAB <http://isa-tools.org>`_
The nPYc toolbox is `developed <https://github.com/phenomecentre/npyc-toolbox>`_ by the informatics team at `The National Phenome Centre <http://phenomecentre.org/>`_ at `Imperial College London <http://imperial.ac.uk/>`_.
Release files for nPYc 2.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| nPYc-2.0.tar.gz | 309.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| nPYc-2.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 678.0 kB
Release files / nPYc-2.0.tar.gz
| Download URL | nPYc-2.0.tar.gz |
|---|---|
| Size | 309.9 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/5.1.1 CPython/3.9.19
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Release files / nPYc-2.0-py3-none-any.whl
| Download URL | nPYc-2.0-py3-none-any.whl |
|---|---|
| Size | 368.1 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.9.19
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