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PathExpress update: the enzyme neighbourhood method of associating gene-expression data with metabolic pathways
The post-genomic era presents us with the challenge of linking the vast amount of raw data obtained with transcriptomic and proteomic techniques to relevant biological pathways. We present an update of PathExpress, a web-based tool to interpret gene-expression data and explore the metabolic network...
Autores principales: | , , |
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Formato: | Texto |
Lenguaje: | English |
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Oxford University Press
2009
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2703986/ https://www.ncbi.nlm.nih.gov/pubmed/19474337 http://dx.doi.org/10.1093/nar/gkp432 |
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author | Goffard, Nicolas Frickey, Tancred Weiller, Georg |
author_facet | Goffard, Nicolas Frickey, Tancred Weiller, Georg |
author_sort | Goffard, Nicolas |
collection | PubMed |
description | The post-genomic era presents us with the challenge of linking the vast amount of raw data obtained with transcriptomic and proteomic techniques to relevant biological pathways. We present an update of PathExpress, a web-based tool to interpret gene-expression data and explore the metabolic network without being restricted to predefined pathways. We define the Enzyme Neighbourhood (EN) as a sub-network of linked enzymes with a limited path length to identify the most relevant sub-networks affected in gene-expression experiments. PathExpress is freely available at: http://bioinfoserver.rsbs.anu.edu.au/utils/PathExpress/. |
format | Text |
id | pubmed-2703986 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-27039862009-07-01 PathExpress update: the enzyme neighbourhood method of associating gene-expression data with metabolic pathways Goffard, Nicolas Frickey, Tancred Weiller, Georg Nucleic Acids Res Articles The post-genomic era presents us with the challenge of linking the vast amount of raw data obtained with transcriptomic and proteomic techniques to relevant biological pathways. We present an update of PathExpress, a web-based tool to interpret gene-expression data and explore the metabolic network without being restricted to predefined pathways. We define the Enzyme Neighbourhood (EN) as a sub-network of linked enzymes with a limited path length to identify the most relevant sub-networks affected in gene-expression experiments. PathExpress is freely available at: http://bioinfoserver.rsbs.anu.edu.au/utils/PathExpress/. Oxford University Press 2009-07-01 2009-05-27 /pmc/articles/PMC2703986/ /pubmed/19474337 http://dx.doi.org/10.1093/nar/gkp432 Text en © 2009 The Author(s) http://creativecommons.org/licenses/by-nc/2.0/uk/ 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 Goffard, Nicolas Frickey, Tancred Weiller, Georg PathExpress update: the enzyme neighbourhood method of associating gene-expression data with metabolic pathways |
title | PathExpress update: the enzyme neighbourhood method of associating gene-expression data with metabolic pathways |
title_full | PathExpress update: the enzyme neighbourhood method of associating gene-expression data with metabolic pathways |
title_fullStr | PathExpress update: the enzyme neighbourhood method of associating gene-expression data with metabolic pathways |
title_full_unstemmed | PathExpress update: the enzyme neighbourhood method of associating gene-expression data with metabolic pathways |
title_short | PathExpress update: the enzyme neighbourhood method of associating gene-expression data with metabolic pathways |
title_sort | pathexpress update: the enzyme neighbourhood method of associating gene-expression data with metabolic pathways |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2703986/ https://www.ncbi.nlm.nih.gov/pubmed/19474337 http://dx.doi.org/10.1093/nar/gkp432 |
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