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An online system for metabolic network analysis
Metabolic networks have become one of the centers of attention in life sciences research with the advancements in the metabolomics field. A vast array of studies analyzes metabolites and their interrelations to seek explanations for various biological questions, and numerous genome-scale metabolic n...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4178370/ https://www.ncbi.nlm.nih.gov/pubmed/25267793 http://dx.doi.org/10.1093/database/bau091 |
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author | Cicek, Abdullah Ercument Qi, Xinjian Cakmak, Ali Johnson, Stephen R. Han, Xu Alshalwi, Sami Ozsoyoglu, Zehra Meral Ozsoyoglu, Gultekin |
author_facet | Cicek, Abdullah Ercument Qi, Xinjian Cakmak, Ali Johnson, Stephen R. Han, Xu Alshalwi, Sami Ozsoyoglu, Zehra Meral Ozsoyoglu, Gultekin |
author_sort | Cicek, Abdullah Ercument |
collection | PubMed |
description | Metabolic networks have become one of the centers of attention in life sciences research with the advancements in the metabolomics field. A vast array of studies analyzes metabolites and their interrelations to seek explanations for various biological questions, and numerous genome-scale metabolic networks have been assembled to serve for this purpose. The increasing focus on this topic comes with the need for software systems that store, query, browse, analyze and visualize metabolic networks. PathCase Metabolomics Analysis Workbench (PathCaseMAW) is built, released and runs on a manually created generic mammalian metabolic network. The PathCaseMAW system provides a database-enabled framework and Web-based computational tools for browsing, querying, analyzing and visualizing stored metabolic networks. PathCaseMAW editor, with its user-friendly interface, can be used to create a new metabolic network and/or update an existing metabolic network. The network can also be created from an existing genome-scale reconstructed network using the PathCaseMAW SBML parser. The metabolic network can be accessed through a Web interface or an iPad application. For metabolomics analysis, steady-state metabolic network dynamics analysis (SMDA) algorithm is implemented and integrated with the system. SMDA tool is accessible through both the Web-based interface and the iPad application for metabolomics analysis based on a metabolic profile. PathCaseMAW is a comprehensive system with various data input and data access subsystems. It is easy to work with by design, and is a promising tool for metabolomics research and for educational purposes. Database URL: http://nashua.case.edu/PathwaysMAW/Web |
format | Online Article Text |
id | pubmed-4178370 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-41783702014-10-03 An online system for metabolic network analysis Cicek, Abdullah Ercument Qi, Xinjian Cakmak, Ali Johnson, Stephen R. Han, Xu Alshalwi, Sami Ozsoyoglu, Zehra Meral Ozsoyoglu, Gultekin Database (Oxford) Original Article Metabolic networks have become one of the centers of attention in life sciences research with the advancements in the metabolomics field. A vast array of studies analyzes metabolites and their interrelations to seek explanations for various biological questions, and numerous genome-scale metabolic networks have been assembled to serve for this purpose. The increasing focus on this topic comes with the need for software systems that store, query, browse, analyze and visualize metabolic networks. PathCase Metabolomics Analysis Workbench (PathCaseMAW) is built, released and runs on a manually created generic mammalian metabolic network. The PathCaseMAW system provides a database-enabled framework and Web-based computational tools for browsing, querying, analyzing and visualizing stored metabolic networks. PathCaseMAW editor, with its user-friendly interface, can be used to create a new metabolic network and/or update an existing metabolic network. The network can also be created from an existing genome-scale reconstructed network using the PathCaseMAW SBML parser. The metabolic network can be accessed through a Web interface or an iPad application. For metabolomics analysis, steady-state metabolic network dynamics analysis (SMDA) algorithm is implemented and integrated with the system. SMDA tool is accessible through both the Web-based interface and the iPad application for metabolomics analysis based on a metabolic profile. PathCaseMAW is a comprehensive system with various data input and data access subsystems. It is easy to work with by design, and is a promising tool for metabolomics research and for educational purposes. Database URL: http://nashua.case.edu/PathwaysMAW/Web Oxford University Press 2014-09-27 /pmc/articles/PMC4178370/ /pubmed/25267793 http://dx.doi.org/10.1093/database/bau091 Text en © The Author(s) 2014. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Cicek, Abdullah Ercument Qi, Xinjian Cakmak, Ali Johnson, Stephen R. Han, Xu Alshalwi, Sami Ozsoyoglu, Zehra Meral Ozsoyoglu, Gultekin An online system for metabolic network analysis |
title | An online system for metabolic network analysis |
title_full | An online system for metabolic network analysis |
title_fullStr | An online system for metabolic network analysis |
title_full_unstemmed | An online system for metabolic network analysis |
title_short | An online system for metabolic network analysis |
title_sort | online system for metabolic network analysis |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4178370/ https://www.ncbi.nlm.nih.gov/pubmed/25267793 http://dx.doi.org/10.1093/database/bau091 |
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