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{Rodriguez:2016:bioinformatics/btw697,
author = {Rodriguez, Martinez A and Ayala, R and Posma, JM and Neves, AL and Gauguier, D and Nicholson, JK and Dumas, ME},
doi = {bioinformatics/btw697},
journal = {Bioinformatics},
pages = {773--775},
title = {MetaboSignal, a network-based approach for topological analysis of metabotype regulation via metabolic and signaling pathways},
url = {http://dx.doi.org/10.1093/bioinformatics/btw697},
volume = {33},
year = {2016}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - MetaboSignal is an R package that allows merging metabolic and signaling pathways reported in the Kyoto Encyclopaedia of Genes and Genomes (KEGG). It is a network-based approach designed to navigate through topological relationships between genes (signaling- or metabolic-genes) and metabolites, representing a powerful tool to investigate the genetic landscape of metabolic phenotypes.
AU - Rodriguez,Martinez A
AU - Ayala,R
AU - Posma,JM
AU - Neves,AL
AU - Gauguier,D
AU - Nicholson,JK
AU - Dumas,ME
DO - bioinformatics/btw697
EP - 775
PY - 2016///
SN - 1367-4803
SP - 773
TI - MetaboSignal, a network-based approach for topological analysis of metabotype regulation via metabolic and signaling pathways
T2 - Bioinformatics
UR - http://dx.doi.org/10.1093/bioinformatics/btw697
UR - http://hdl.handle.net/10044/1/42300
VL - 33
ER -