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The nPYc-Toolbox, a Python module for the pre-processing, quality-control and analysis of metabolic profiling datasets.
- Source :
-
Bioinformatics (Oxford, England) [Bioinformatics] 2019 Dec 15; Vol. 35 (24), pp. 5359-5360. - Publication Year :
- 2019
-
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.<br />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.<br /> (© The Author(s) 2019. Published by Oxford University Press.)
- Subjects :
- Documentation
Quality Control
Metabolomics
Software
Subjects
Details
- Language :
- English
- ISSN :
- 1367-4811
- Volume :
- 35
- Issue :
- 24
- Database :
- MEDLINE
- Journal :
- Bioinformatics (Oxford, England)
- Publication Type :
- Academic Journal
- Accession number :
- 31350543
- Full Text :
- https://doi.org/10.1093/bioinformatics/btz566