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 visualization of metabolic phenotyping datasets, either interactively, or in automated pipelines.
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CITATION STYLE
Sands, C. J., Wolfer, A. M., Correia, G. D. S., Sadawi, N., Ahmed, A., Jiménez, B., … Pearce, J. T. M. (2019). The nPYc-Toolbox, a Python module for the pre-processing, quality-control and analysis of metabolic profiling datasets. Bioinformatics, 35(24), 5359–5360. https://doi.org/10.1093/bioinformatics/btz566
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