Summary: As large-scale metabolic phenotyping studies become increasingly common, the need for
systemic methods for pre-processing and quality control (QC) of analytical data prior to statistical analysis
has become increasingly important, both within a study, and to allow meaningful inter-study comparisons.
The nPYc-Toolbox provides software for the import, pre-processing, QC, and visualisation of metabolic
phenotyping datasets, either interactively, or in automated pipelines.
Availability and Implementation: The nPYc-Toolbox is implemented in Python, and is freely
available from the Python package index https://pypi.org/project/nPYc/, source is
available at https://github.com/phenomecentre/nPYc-Toolbox. Full documentation can
be found at http://npyc-toolbox.readthedocs.io/ and exemplar datasets and tutorials at
https://github.com/phenomecentre/nPYc-toolbox-tutorials