Imperial College London

ProfessorTriciaTan

Faculty of MedicineDepartment of Metabolism, Digestion and Reproduction

Chair in Metabolic Medicine and Endocrinology
 
 
 
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Contact

 

+44 (0)20 3313 8038t.tan

 
 
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Location

 

6N6ECommonwealth BuildingHammersmith Campus

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Summary

 

Publications

Citation

BibTex format

@article{Takis:2022:bioinformatics/btac502,
author = {Takis, PG and Vuckovic, I and Tan, T and Denic, A and Lieske, JC and Lewis, MR and Macura, S},
doi = {bioinformatics/btac502},
journal = {Bioinformatics},
pages = {4437--4439},
title = {NMRpQuant: an automated software for large scale urinary total protein quantification by one-dimensional 1H NMR profiles},
url = {http://dx.doi.org/10.1093/bioinformatics/btac502},
volume = {38},
year = {2022}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - Summary1H nuclear magnetic resonance (NMR) spectroscopy is an established bioanalytical technology for metabolic profiling of biofluids in both clinical and large-scale population screening applications. Recently, urinary protein quantification has been demonstrated using the same 1D 1H NMR experimental data captured for metabolic profiling. Here, we introduce NMRpQuant, a freely available platform that builds on these findings with both novel and further optimized computational NMR approaches for rigorous, automated protein urine quantification. The results are validated by interlaboratory comparisons, demonstrating agreement with clinical/biochemical methodologies, pointing at a ready-to-use tool for routine protein urinalyses.Availability and implementationNMRpQuant was developed on MATLAB programming environment. Source code and Windows/macOS compiled applications are available at https://github.com/pantakis/NMRpQuant, and working examples are available at https://doi.org/10.6084/m9.figshare.18737189.v1.
AU - Takis,PG
AU - Vuckovic,I
AU - Tan,T
AU - Denic,A
AU - Lieske,JC
AU - Lewis,MR
AU - Macura,S
DO - bioinformatics/btac502
EP - 4439
PY - 2022///
SN - 1367-4803
SP - 4437
TI - NMRpQuant: an automated software for large scale urinary total protein quantification by one-dimensional 1H NMR profiles
T2 - Bioinformatics
UR - http://dx.doi.org/10.1093/bioinformatics/btac502
UR - https://academic.oup.com/bioinformatics/advance-article/doi/10.1093/bioinformatics/btac502/6647909
UR - http://hdl.handle.net/10044/1/98483
VL - 38
ER -