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

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Title: 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
Item Type: Journal Article
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
Issue Date: 26-Jul-2019
Date of Acceptance: 15-Jul-2019
URI: http://hdl.handle.net/10044/1/71957
DOI: https://dx.doi.org/10.1093/bioinformatics/btz566
ISSN: 1367-4803
Publisher: Oxford University Press (OUP)
Journal / Book Title: Bioinformatics
Copyright Statement: This paper is embargoed until publication. Once published it will be available fully open access.
Sponsor/Funder: Medical Research Council (MRC)
Funder's Grant Number: MC_PC_12025
Keywords: 01 Mathematical Sciences
06 Biological Sciences
08 Information and Computing Sciences
Bioinformatics
Publication Status: Accepted
Embargo Date: publication subject to indefinite embargo
Appears in Collections:Division of Surgery



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