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aGEM: an integrative system for analyzing spatial-temporal gene-expression information
Motivation: The work presented here describes the ‘anatomical Gene-Expression Mapping (aGEM)’ Platform, a development conceived to integrate phenotypic information with the spatial and temporal distributions of genes expressed in the mouse. The aGEM Platform has been built by extending the Distribut...
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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/PMC2752607/ https://www.ncbi.nlm.nih.gov/pubmed/19592395 http://dx.doi.org/10.1093/bioinformatics/btp422 |
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author | Jiménez-Lozano, Natalia Segura, Joan Macías, José Ramón Vega, Juanjo Carazo, José María |
author_facet | Jiménez-Lozano, Natalia Segura, Joan Macías, José Ramón Vega, Juanjo Carazo, José María |
author_sort | Jiménez-Lozano, Natalia |
collection | PubMed |
description | Motivation: The work presented here describes the ‘anatomical Gene-Expression Mapping (aGEM)’ Platform, a development conceived to integrate phenotypic information with the spatial and temporal distributions of genes expressed in the mouse. The aGEM Platform has been built by extending the Distributed Annotation System (DAS) protocol, which was originally designed to share genome annotations over the WWW. DAS is a client-server system in which a single client integrates information from multiple distributed servers. Results: The aGEM Platform provides information to answer three main questions. (i) Which genes are expressed in a given mouse anatomical component? (ii) In which mouse anatomical structures are a given gene or set of genes expressed? And (iii) is there any correlation among these findings? Currently, this Platform includes several well-known mouse resources (EMAGE, GXD and GENSAT), hosting gene-expression data mostly obtained from in situ techniques together with a broad set of image-derived annotations. Availability: The Platform is optimized for Firefox 3.0 and it is accessed through a friendly and intuitive display: http://agem.cnb.csic.es Contact: natalia@cnb.csic.es Supplementary information: Supplementary data are available at http://bioweb.cnb.csic.es/VisualOmics/aGEM/home.html and http://bioweb.cnb.csic.es/VisualOmics/index_VO.html and Bioinformatics online. |
format | Text |
id | pubmed-2752607 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-27526072009-10-01 aGEM: an integrative system for analyzing spatial-temporal gene-expression information Jiménez-Lozano, Natalia Segura, Joan Macías, José Ramón Vega, Juanjo Carazo, José María Bioinformatics Original Papers Motivation: The work presented here describes the ‘anatomical Gene-Expression Mapping (aGEM)’ Platform, a development conceived to integrate phenotypic information with the spatial and temporal distributions of genes expressed in the mouse. The aGEM Platform has been built by extending the Distributed Annotation System (DAS) protocol, which was originally designed to share genome annotations over the WWW. DAS is a client-server system in which a single client integrates information from multiple distributed servers. Results: The aGEM Platform provides information to answer three main questions. (i) Which genes are expressed in a given mouse anatomical component? (ii) In which mouse anatomical structures are a given gene or set of genes expressed? And (iii) is there any correlation among these findings? Currently, this Platform includes several well-known mouse resources (EMAGE, GXD and GENSAT), hosting gene-expression data mostly obtained from in situ techniques together with a broad set of image-derived annotations. Availability: The Platform is optimized for Firefox 3.0 and it is accessed through a friendly and intuitive display: http://agem.cnb.csic.es Contact: natalia@cnb.csic.es Supplementary information: Supplementary data are available at http://bioweb.cnb.csic.es/VisualOmics/aGEM/home.html and http://bioweb.cnb.csic.es/VisualOmics/index_VO.html and Bioinformatics online. Oxford University Press 2009-10-01 2009-07-09 /pmc/articles/PMC2752607/ /pubmed/19592395 http://dx.doi.org/10.1093/bioinformatics/btp422 Text en 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 | Original Papers Jiménez-Lozano, Natalia Segura, Joan Macías, José Ramón Vega, Juanjo Carazo, José María aGEM: an integrative system for analyzing spatial-temporal gene-expression information |
title | aGEM: an integrative system for analyzing spatial-temporal gene-expression information |
title_full | aGEM: an integrative system for analyzing spatial-temporal gene-expression information |
title_fullStr | aGEM: an integrative system for analyzing spatial-temporal gene-expression information |
title_full_unstemmed | aGEM: an integrative system for analyzing spatial-temporal gene-expression information |
title_short | aGEM: an integrative system for analyzing spatial-temporal gene-expression information |
title_sort | agem: an integrative system for analyzing spatial-temporal gene-expression information |
topic | Original Papers |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2752607/ https://www.ncbi.nlm.nih.gov/pubmed/19592395 http://dx.doi.org/10.1093/bioinformatics/btp422 |
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