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The nPYc-Toolbox, a Python module for the pre-processing, quality-control, and analysis of metabolic profiling datasets

Authors
  • Sands, C
  • Wolfer, A
  • DS Correia, G
  • Sadawi, N
  • Ahmed, A
  • Jimenez, B
  • Lewis, M
  • Glen, R
  • Nicholson, J
  • Pearce, J
Publication Date
Jul 15, 2019
Source
Spiral - Imperial College Digital Repository
Keywords
License
Unknown

Abstract

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

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