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MGDB: crossing the marker genes of a user microarray with a database of public-microarrays marker genes
Summary: The microarrays performed by scientific teams grow exponentially. These microarray data could be useful for researchers around the world, but unfortunately they are underused. To fully exploit these data, it is necessary (i) to extract these data from a repository of the high-throughput gen...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4058934/ https://www.ncbi.nlm.nih.gov/pubmed/24574116 http://dx.doi.org/10.1093/bioinformatics/btu109 |
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author | Huerta, Mario Munyi, Marc Expósito, David Querol, Enric Cedano, Juan |
author_facet | Huerta, Mario Munyi, Marc Expósito, David Querol, Enric Cedano, Juan |
author_sort | Huerta, Mario |
collection | PubMed |
description | Summary: The microarrays performed by scientific teams grow exponentially. These microarray data could be useful for researchers around the world, but unfortunately they are underused. To fully exploit these data, it is necessary (i) to extract these data from a repository of the high-throughput gene expression data like Gene Expression Omnibus (GEO) and (ii) to make the data from different microarrays comparable with tools easy to use for scientists. We have developed these two solutions in our server, implementing a database of microarray marker genes (Marker Genes Data Base). This database contains the marker genes of all GEO microarray datasets and it is updated monthly with the new microarrays from GEO. Thus, researchers can see whether the marker genes of their microarray are marker genes in other microarrays in the database, expanding the analysis of their microarray to the rest of the public microarrays. This solution helps not only to corroborate the conclusions regarding a researcher's microarray but also to identify the phenotype of different subsets of individuals under investigation, to frame the results with microarray experiments from other species, pathologies or tissues, to search for drugs that promote the transition between the studied phenotypes, to detect undesirable side effects of the treatment applied, etc. Thus, the researcher can quickly add relevant information to his/her studies from all of the previous analyses performed in other studies as long as they have been deposited in public repositories. Availability: Marker-gene database tool: http://ibb.uab.es/mgdb Contact: jcedano@unorte.edu.uy |
format | Online Article Text |
id | pubmed-4058934 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-40589342014-06-18 MGDB: crossing the marker genes of a user microarray with a database of public-microarrays marker genes Huerta, Mario Munyi, Marc Expósito, David Querol, Enric Cedano, Juan Bioinformatics Applications Notes Summary: The microarrays performed by scientific teams grow exponentially. These microarray data could be useful for researchers around the world, but unfortunately they are underused. To fully exploit these data, it is necessary (i) to extract these data from a repository of the high-throughput gene expression data like Gene Expression Omnibus (GEO) and (ii) to make the data from different microarrays comparable with tools easy to use for scientists. We have developed these two solutions in our server, implementing a database of microarray marker genes (Marker Genes Data Base). This database contains the marker genes of all GEO microarray datasets and it is updated monthly with the new microarrays from GEO. Thus, researchers can see whether the marker genes of their microarray are marker genes in other microarrays in the database, expanding the analysis of their microarray to the rest of the public microarrays. This solution helps not only to corroborate the conclusions regarding a researcher's microarray but also to identify the phenotype of different subsets of individuals under investigation, to frame the results with microarray experiments from other species, pathologies or tissues, to search for drugs that promote the transition between the studied phenotypes, to detect undesirable side effects of the treatment applied, etc. Thus, the researcher can quickly add relevant information to his/her studies from all of the previous analyses performed in other studies as long as they have been deposited in public repositories. Availability: Marker-gene database tool: http://ibb.uab.es/mgdb Contact: jcedano@unorte.edu.uy Oxford University Press 2014-06-15 2013-02-25 /pmc/articles/PMC4058934/ /pubmed/24574116 http://dx.doi.org/10.1093/bioinformatics/btu109 Text en © The Author 2014. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Applications Notes Huerta, Mario Munyi, Marc Expósito, David Querol, Enric Cedano, Juan MGDB: crossing the marker genes of a user microarray with a database of public-microarrays marker genes |
title | MGDB: crossing the marker genes of a user microarray with a database of public-microarrays marker genes |
title_full | MGDB: crossing the marker genes of a user microarray with a database of public-microarrays marker genes |
title_fullStr | MGDB: crossing the marker genes of a user microarray with a database of public-microarrays marker genes |
title_full_unstemmed | MGDB: crossing the marker genes of a user microarray with a database of public-microarrays marker genes |
title_short | MGDB: crossing the marker genes of a user microarray with a database of public-microarrays marker genes |
title_sort | mgdb: crossing the marker genes of a user microarray with a database of public-microarrays marker genes |
topic | Applications Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4058934/ https://www.ncbi.nlm.nih.gov/pubmed/24574116 http://dx.doi.org/10.1093/bioinformatics/btu109 |
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