MetabNet: An R Package for Metabolic Association Analysis of High-Resolution Metabolomics Data

Liquid-chromatography high-resolution mass spectrometry provides capability to measure >40,000 ions derived from metabolites in biologic samples. This presents challenges to confirm identities of known chemicals and delineate potential metabolic pathway associations of unidentified chemicals. We...

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Detalles Bibliográficos
Autores principales: Uppal, Karan, Soltow, Quinlyn A., Promislow, Daniel E. L., Wachtman, Lynn M., Quyyumi, Arshed Ali, Jones, Dean P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2015
Materias:
Bioengineering and Biotechnology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4464066/
https://www.ncbi.nlm.nih.gov/pubmed/26125020
http://dx.doi.org/10.3389/fbioe.2015.00087
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author Uppal, Karan
Soltow, Quinlyn A.
Promislow, Daniel E. L.
Wachtman, Lynn M.
Quyyumi, Arshed Ali
Jones, Dean P.
author_facet Uppal, Karan
Soltow, Quinlyn A.
Promislow, Daniel E. L.
Wachtman, Lynn M.
Quyyumi, Arshed Ali
Jones, Dean P.
author_sort Uppal, Karan
collection PubMed
description Liquid-chromatography high-resolution mass spectrometry provides capability to measure >40,000 ions derived from metabolites in biologic samples. This presents challenges to confirm identities of known chemicals and delineate potential metabolic pathway associations of unidentified chemicals. We provide an R package for metabolic network analysis, MetabNet, to perform targeted metabolome-wide association study of specific metabolites to facilitate detection of their related metabolic pathways and network structures.
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spelling pubmed-44640662015-06-29 MetabNet: An R Package for Metabolic Association Analysis of High-Resolution Metabolomics Data Uppal, Karan Soltow, Quinlyn A. Promislow, Daniel E. L. Wachtman, Lynn M. Quyyumi, Arshed Ali Jones, Dean P. Front Bioeng Biotechnol Bioengineering and Biotechnology Liquid-chromatography high-resolution mass spectrometry provides capability to measure >40,000 ions derived from metabolites in biologic samples. This presents challenges to confirm identities of known chemicals and delineate potential metabolic pathway associations of unidentified chemicals. We provide an R package for metabolic network analysis, MetabNet, to perform targeted metabolome-wide association study of specific metabolites to facilitate detection of their related metabolic pathways and network structures. Frontiers Media S.A. 2015-06-11 /pmc/articles/PMC4464066/ /pubmed/26125020 http://dx.doi.org/10.3389/fbioe.2015.00087 Text en Copyright © 2015 Uppal, Soltow, Promislow, Wachtman, Quyyumi and Jones. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Bioengineering and Biotechnology
Uppal, Karan
Soltow, Quinlyn A.
Promislow, Daniel E. L.
Wachtman, Lynn M.
Quyyumi, Arshed Ali
Jones, Dean P.
MetabNet: An R Package for Metabolic Association Analysis of High-Resolution Metabolomics Data
title MetabNet: An R Package for Metabolic Association Analysis of High-Resolution Metabolomics Data
title_full MetabNet: An R Package for Metabolic Association Analysis of High-Resolution Metabolomics Data
title_fullStr MetabNet: An R Package for Metabolic Association Analysis of High-Resolution Metabolomics Data
title_full_unstemmed MetabNet: An R Package for Metabolic Association Analysis of High-Resolution Metabolomics Data
title_short MetabNet: An R Package for Metabolic Association Analysis of High-Resolution Metabolomics Data
title_sort metabnet: an r package for metabolic association analysis of high-resolution metabolomics data
topic Bioengineering and Biotechnology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4464066/
https://www.ncbi.nlm.nih.gov/pubmed/26125020
http://dx.doi.org/10.3389/fbioe.2015.00087
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