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MEMOSys: Bioinformatics platform for genome-scale metabolic models
BACKGROUND: Recent advances in genomic sequencing have enabled the use of genome sequencing in standard biological and biotechnological research projects. The challenge is how to integrate the large amount of data in order to gain novel biological insights. One way to leverage sequence data is to us...
Autores principales: | , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3045322/ https://www.ncbi.nlm.nih.gov/pubmed/21276275 http://dx.doi.org/10.1186/1752-0509-5-20 |
_version_ | 1782198811061387264 |
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author | Pabinger, Stephan Rader, Robert Agren, Rasmus Nielsen, Jens Trajanoski, Zlatko |
author_facet | Pabinger, Stephan Rader, Robert Agren, Rasmus Nielsen, Jens Trajanoski, Zlatko |
author_sort | Pabinger, Stephan |
collection | PubMed |
description | BACKGROUND: Recent advances in genomic sequencing have enabled the use of genome sequencing in standard biological and biotechnological research projects. The challenge is how to integrate the large amount of data in order to gain novel biological insights. One way to leverage sequence data is to use genome-scale metabolic models. We have therefore designed and implemented a bioinformatics platform which supports the development of such metabolic models. RESULTS: MEMOSys (MEtabolic MOdel research and development System) is a versatile platform for the management, storage, and development of genome-scale metabolic models. It supports the development of new models by providing a built-in version control system which offers access to the complete developmental history. Moreover, the integrated web board, the authorization system, and the definition of user roles allow collaborations across departments and institutions. Research on existing models is facilitated by a search system, references to external databases, and a feature-rich comparison mechanism. MEMOSys provides customizable data exchange mechanisms using the SBML format to enable analysis in external tools. The web application is based on the Java EE framework and offers an intuitive user interface. It currently contains six annotated microbial metabolic models. CONCLUSIONS: We have developed a web-based system designed to provide researchers a novel application facilitating the management and development of metabolic models. The system is freely available at http://www.icbi.at/MEMOSys. |
format | Text |
id | pubmed-3045322 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-30453222011-02-26 MEMOSys: Bioinformatics platform for genome-scale metabolic models Pabinger, Stephan Rader, Robert Agren, Rasmus Nielsen, Jens Trajanoski, Zlatko BMC Syst Biol Software BACKGROUND: Recent advances in genomic sequencing have enabled the use of genome sequencing in standard biological and biotechnological research projects. The challenge is how to integrate the large amount of data in order to gain novel biological insights. One way to leverage sequence data is to use genome-scale metabolic models. We have therefore designed and implemented a bioinformatics platform which supports the development of such metabolic models. RESULTS: MEMOSys (MEtabolic MOdel research and development System) is a versatile platform for the management, storage, and development of genome-scale metabolic models. It supports the development of new models by providing a built-in version control system which offers access to the complete developmental history. Moreover, the integrated web board, the authorization system, and the definition of user roles allow collaborations across departments and institutions. Research on existing models is facilitated by a search system, references to external databases, and a feature-rich comparison mechanism. MEMOSys provides customizable data exchange mechanisms using the SBML format to enable analysis in external tools. The web application is based on the Java EE framework and offers an intuitive user interface. It currently contains six annotated microbial metabolic models. CONCLUSIONS: We have developed a web-based system designed to provide researchers a novel application facilitating the management and development of metabolic models. The system is freely available at http://www.icbi.at/MEMOSys. BioMed Central 2011-01-31 /pmc/articles/PMC3045322/ /pubmed/21276275 http://dx.doi.org/10.1186/1752-0509-5-20 Text en Copyright ©2011 Pabinger et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Software Pabinger, Stephan Rader, Robert Agren, Rasmus Nielsen, Jens Trajanoski, Zlatko MEMOSys: Bioinformatics platform for genome-scale metabolic models |
title | MEMOSys: Bioinformatics platform for genome-scale metabolic models |
title_full | MEMOSys: Bioinformatics platform for genome-scale metabolic models |
title_fullStr | MEMOSys: Bioinformatics platform for genome-scale metabolic models |
title_full_unstemmed | MEMOSys: Bioinformatics platform for genome-scale metabolic models |
title_short | MEMOSys: Bioinformatics platform for genome-scale metabolic models |
title_sort | memosys: bioinformatics platform for genome-scale metabolic models |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3045322/ https://www.ncbi.nlm.nih.gov/pubmed/21276275 http://dx.doi.org/10.1186/1752-0509-5-20 |
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