Imperial College London

Emeritus ProfessorJeremyNicholson

Faculty of MedicineDepartment of Metabolism, Digestion and Reproduction

Emeritus Professor of Biological Chemistry
 
 
 
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Contact

 

+44 (0)20 7594 3195j.nicholson Website

 
 
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Assistant

 

Ms Wendy Torto +44 (0)20 7594 3225

 
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Location

 

Office no. 665Sir Alexander Fleming BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Sands:bioinformatics/btz566,
author = {Sands, C and Wolfer, A and DS, Correia G and Sadawi, N and Ahmed, A and Jimenez, B and Lewis, M and Glen, R and Nicholson, J and Pearce, J},
doi = {bioinformatics/btz566},
journal = {Bioinformatics},
title = {The nPYc-Toolbox, a Python module for the pre-processing, quality-control, and analysis of metabolic profiling datasets},
url = {http://dx.doi.org/10.1093/bioinformatics/btz566},
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - Summary: As large-scale metabolic phenotyping studies become increasingly common, the need forsystemic methods for pre-processing and quality control (QC) of analytical data prior to statistical analysishas 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 metabolicphenotyping datasets, either interactively, or in automated pipelines.Availability and Implementation: The nPYc-Toolbox is implemented in Python, and is freelyavailable from the Python package index https://pypi.org/project/nPYc/, source isavailable at https://github.com/phenomecentre/nPYc-Toolbox. Full documentation canbe found at http://npyc-toolbox.readthedocs.io/ and exemplar datasets and tutorials athttps://github.com/phenomecentre/nPYc-toolbox-tutorials
AU - Sands,C
AU - Wolfer,A
AU - DS,Correia G
AU - Sadawi,N
AU - Ahmed,A
AU - Jimenez,B
AU - Lewis,M
AU - Glen,R
AU - Nicholson,J
AU - Pearce,J
DO - bioinformatics/btz566
SN - 1367-4803
TI - The nPYc-Toolbox, a Python module for the pre-processing, quality-control, and analysis of metabolic profiling datasets
T2 - Bioinformatics
UR - http://dx.doi.org/10.1093/bioinformatics/btz566
UR - http://hdl.handle.net/10044/1/71957
ER -