Metadata-Version: 2.1
Name: nPYc
Version: 1.2.6
Summary: National Phenome Centre toolbox
Home-page: https://github.com/phenomecentre/npyc-toolbox
Author: National Phenome Centre
Author-email: phenomecentre@imperial.ac.uk
License: MIT
Description: 		Toolbox for preprocessing of metabolic profiling datasets
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        		.. image:: https://travis-ci.org/phenomecentre/nPYc-Toolbox.svg?branch=master
        		   :target: https://travis-ci.org/phenomecentre/nPYc-Toolbox
        		   :alt: Travis CI build status
        
        		.. image:: https://readthedocs.org/projects/npyc-toolbox/badge/?version=latest
        		   :target: http://npyc-toolbox.readthedocs.io/en/latest/?badge=latest
        		   :alt: Documentation Status
        
        		.. image:: https://codecov.io/gh/phenomecentre/nPYc-Toolbox/branch/master/graph/badge.svg
        		   :target: https://codecov.io/gh/phenomecentre/nPYc-Toolbox
        		   :alt: Test coverage
        
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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/>`_.
        		
Platform: UNKNOWN
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3.9
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Description-Content-Type: text/markdown
