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SYSTOMONAS — an integrated database for systems biology analysis of Pseudomonas
To provide an integrated bioinformatics platform for a systems biology approach to the biology of pseudomonads in infection and biotechnology the database SYSTOMONAS (SYSTems biology of pseudOMONAS) was established. Besides our own experimental metabolome, proteome and transcriptome data, various ad...
Autores principales: | , , , , , , , , , , , , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
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Oxford University Press
2007
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1899106/ https://www.ncbi.nlm.nih.gov/pubmed/17202169 http://dx.doi.org/10.1093/nar/gkl823 |
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author | Choi, Claudia Münch, Richard Leupold, Stefan Klein, Johannes Siegel, Inga Thielen, Bernhard Benkert, Beatrice Kucklick, Martin Schobert, Max Barthelmes, Jens Ebeling, Christian Haddad, Isam Scheer, Maurice Grote, Andreas Hiller, Karsten Bunk, Boyke Schreiber, Kerstin Retter, Ida Schomburg, Dietmar Jahn, Dieter |
author_facet | Choi, Claudia Münch, Richard Leupold, Stefan Klein, Johannes Siegel, Inga Thielen, Bernhard Benkert, Beatrice Kucklick, Martin Schobert, Max Barthelmes, Jens Ebeling, Christian Haddad, Isam Scheer, Maurice Grote, Andreas Hiller, Karsten Bunk, Boyke Schreiber, Kerstin Retter, Ida Schomburg, Dietmar Jahn, Dieter |
author_sort | Choi, Claudia |
collection | PubMed |
description | To provide an integrated bioinformatics platform for a systems biology approach to the biology of pseudomonads in infection and biotechnology the database SYSTOMONAS (SYSTems biology of pseudOMONAS) was established. Besides our own experimental metabolome, proteome and transcriptome data, various additional predictions of cellular processes, such as gene-regulatory networks were stored. Reconstruction of metabolic networks in SYSTOMONAS was achieved via comparative genomics. Broad data integration is realized using SOAP interfaces for the well established databases BRENDA, KEGG and PRODORIC. Several tools for the analysis of stored data and for the visualization of the corresponding results are provided, enabling a quick understanding of metabolic pathways, genomic arrangements or promoter structures of interest. The focus of SYSTOMONAS is on pseudomonads and in particular Pseudomonas aeruginosa, an opportunistic human pathogen. With this database we would like to encourage the Pseudomonas community to elucidate cellular processes of interest using an integrated systems biology strategy. The database is accessible at . |
format | Text |
id | pubmed-1899106 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2007 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-18991062007-06-26 SYSTOMONAS — an integrated database for systems biology analysis of Pseudomonas Choi, Claudia Münch, Richard Leupold, Stefan Klein, Johannes Siegel, Inga Thielen, Bernhard Benkert, Beatrice Kucklick, Martin Schobert, Max Barthelmes, Jens Ebeling, Christian Haddad, Isam Scheer, Maurice Grote, Andreas Hiller, Karsten Bunk, Boyke Schreiber, Kerstin Retter, Ida Schomburg, Dietmar Jahn, Dieter Nucleic Acids Res Articles To provide an integrated bioinformatics platform for a systems biology approach to the biology of pseudomonads in infection and biotechnology the database SYSTOMONAS (SYSTems biology of pseudOMONAS) was established. Besides our own experimental metabolome, proteome and transcriptome data, various additional predictions of cellular processes, such as gene-regulatory networks were stored. Reconstruction of metabolic networks in SYSTOMONAS was achieved via comparative genomics. Broad data integration is realized using SOAP interfaces for the well established databases BRENDA, KEGG and PRODORIC. Several tools for the analysis of stored data and for the visualization of the corresponding results are provided, enabling a quick understanding of metabolic pathways, genomic arrangements or promoter structures of interest. The focus of SYSTOMONAS is on pseudomonads and in particular Pseudomonas aeruginosa, an opportunistic human pathogen. With this database we would like to encourage the Pseudomonas community to elucidate cellular processes of interest using an integrated systems biology strategy. The database is accessible at . Oxford University Press 2007-01 /pmc/articles/PMC1899106/ /pubmed/17202169 http://dx.doi.org/10.1093/nar/gkl823 Text en © 2006 The Author(s) This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Articles Choi, Claudia Münch, Richard Leupold, Stefan Klein, Johannes Siegel, Inga Thielen, Bernhard Benkert, Beatrice Kucklick, Martin Schobert, Max Barthelmes, Jens Ebeling, Christian Haddad, Isam Scheer, Maurice Grote, Andreas Hiller, Karsten Bunk, Boyke Schreiber, Kerstin Retter, Ida Schomburg, Dietmar Jahn, Dieter SYSTOMONAS — an integrated database for systems biology analysis of Pseudomonas |
title | SYSTOMONAS — an integrated database for systems biology analysis of Pseudomonas |
title_full | SYSTOMONAS — an integrated database for systems biology analysis of Pseudomonas |
title_fullStr | SYSTOMONAS — an integrated database for systems biology analysis of Pseudomonas |
title_full_unstemmed | SYSTOMONAS — an integrated database for systems biology analysis of Pseudomonas |
title_short | SYSTOMONAS — an integrated database for systems biology analysis of Pseudomonas |
title_sort | systomonas — an integrated database for systems biology analysis of pseudomonas |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1899106/ https://www.ncbi.nlm.nih.gov/pubmed/17202169 http://dx.doi.org/10.1093/nar/gkl823 |
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