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PathExpress: a web-based tool to identify relevant pathways in gene expression data
PathExpress is a web-based tool developed to interpret gene expression data obtained from microarray experiments by identifying the most relevant metabolic pathways associated with a subset of genes (e.g. differentially expressed genes). A graphical pathway representation permits the visualization o...
Autores principales: | , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2007
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1933187/ https://www.ncbi.nlm.nih.gov/pubmed/17586825 http://dx.doi.org/10.1093/nar/gkm261 |
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author | Goffard, Nicolas Weiller, Georg |
author_facet | Goffard, Nicolas Weiller, Georg |
author_sort | Goffard, Nicolas |
collection | PubMed |
description | PathExpress is a web-based tool developed to interpret gene expression data obtained from microarray experiments by identifying the most relevant metabolic pathways associated with a subset of genes (e.g. differentially expressed genes). A graphical pathway representation permits the visualization of the expressed genes in a functional context. Based on the publicly accessible KEGG Ligand database, PathExpress can be adapted to any organism and is currently available for seven Affymetrix genome arrays. About 20% of the probe sets of each array have been assigned to Enzyme Commission numbers by homology relationship and linked to corresponding metabolic pathways. PathExpress is available at http://bioinfoserver.rsbs.anu.edu.au/utils/PathExpress/. |
format | Text |
id | pubmed-1933187 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2007 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-19331872007-07-31 PathExpress: a web-based tool to identify relevant pathways in gene expression data Goffard, Nicolas Weiller, Georg Nucleic Acids Res Articles PathExpress is a web-based tool developed to interpret gene expression data obtained from microarray experiments by identifying the most relevant metabolic pathways associated with a subset of genes (e.g. differentially expressed genes). A graphical pathway representation permits the visualization of the expressed genes in a functional context. Based on the publicly accessible KEGG Ligand database, PathExpress can be adapted to any organism and is currently available for seven Affymetrix genome arrays. About 20% of the probe sets of each array have been assigned to Enzyme Commission numbers by homology relationship and linked to corresponding metabolic pathways. PathExpress is available at http://bioinfoserver.rsbs.anu.edu.au/utils/PathExpress/. Oxford University Press 2007-07 2007-06-22 /pmc/articles/PMC1933187/ /pubmed/17586825 http://dx.doi.org/10.1093/nar/gkm261 Text en © 2007 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 Weiller, Georg PathExpress: a web-based tool to identify relevant pathways in gene expression data |
title | PathExpress: a web-based tool to identify relevant pathways in gene expression data |
title_full | PathExpress: a web-based tool to identify relevant pathways in gene expression data |
title_fullStr | PathExpress: a web-based tool to identify relevant pathways in gene expression data |
title_full_unstemmed | PathExpress: a web-based tool to identify relevant pathways in gene expression data |
title_short | PathExpress: a web-based tool to identify relevant pathways in gene expression data |
title_sort | pathexpress: a web-based tool to identify relevant pathways in gene expression data |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1933187/ https://www.ncbi.nlm.nih.gov/pubmed/17586825 http://dx.doi.org/10.1093/nar/gkm261 |
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