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GeneBrowser 2: an application to explore and identify common biological traits in a set of genes

BACKGROUND: The development of high-throughput laboratory techniques created a demand for computer-assisted result analysis tools. Many of these techniques return lists of genes whose interpretation requires finding relevant biological roles for the problem at hand. The required information is typic...

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Autores principales: Arrais, Joel P, Fernandes, João, Pereira, João, Oliveira, José Luís
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2919517/
https://www.ncbi.nlm.nih.gov/pubmed/20663121
http://dx.doi.org/10.1186/1471-2105-11-389
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author Arrais, Joel P
Fernandes, João
Pereira, João
Oliveira, José Luís
author_facet Arrais, Joel P
Fernandes, João
Pereira, João
Oliveira, José Luís
author_sort Arrais, Joel P
collection PubMed
description BACKGROUND: The development of high-throughput laboratory techniques created a demand for computer-assisted result analysis tools. Many of these techniques return lists of genes whose interpretation requires finding relevant biological roles for the problem at hand. The required information is typically available in public databases, and usually, this information must be manually retrieved to complement the analysis. This process is a very time-consuming task that should be automated as much as possible. RESULTS: GeneBrowser is a web-based tool that, for a given list of genes, combines data from several public databases with visualisation and analysis methods to help identify the most relevant and common biological characteristics. The functionalities provided include the following: a central point with the most relevant biological information for each inserted gene; a list of the most related papers in PubMed and gene expression studies in ArrayExpress; and an extended approach to functional analysis applied to Gene Ontology, homologies, gene chromosomal localisation and pathways. CONCLUSIONS: GeneBrowser provides a unique entry point to several visualisation and analysis methods, providing fast and easy analysis of a set of genes. GeneBrowser fills the gap between Web portals that analyse one gene at a time and functional analysis tools that are limited in scope and usually desktop-based.
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spelling pubmed-29195172010-08-11 GeneBrowser 2: an application to explore and identify common biological traits in a set of genes Arrais, Joel P Fernandes, João Pereira, João Oliveira, José Luís BMC Bioinformatics Software BACKGROUND: The development of high-throughput laboratory techniques created a demand for computer-assisted result analysis tools. Many of these techniques return lists of genes whose interpretation requires finding relevant biological roles for the problem at hand. The required information is typically available in public databases, and usually, this information must be manually retrieved to complement the analysis. This process is a very time-consuming task that should be automated as much as possible. RESULTS: GeneBrowser is a web-based tool that, for a given list of genes, combines data from several public databases with visualisation and analysis methods to help identify the most relevant and common biological characteristics. The functionalities provided include the following: a central point with the most relevant biological information for each inserted gene; a list of the most related papers in PubMed and gene expression studies in ArrayExpress; and an extended approach to functional analysis applied to Gene Ontology, homologies, gene chromosomal localisation and pathways. CONCLUSIONS: GeneBrowser provides a unique entry point to several visualisation and analysis methods, providing fast and easy analysis of a set of genes. GeneBrowser fills the gap between Web portals that analyse one gene at a time and functional analysis tools that are limited in scope and usually desktop-based. BioMed Central 2010-07-21 /pmc/articles/PMC2919517/ /pubmed/20663121 http://dx.doi.org/10.1186/1471-2105-11-389 Text en Copyright ©2010 Arrais et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Software
Arrais, Joel P
Fernandes, João
Pereira, João
Oliveira, José Luís
GeneBrowser 2: an application to explore and identify common biological traits in a set of genes
title GeneBrowser 2: an application to explore and identify common biological traits in a set of genes
title_full GeneBrowser 2: an application to explore and identify common biological traits in a set of genes
title_fullStr GeneBrowser 2: an application to explore and identify common biological traits in a set of genes
title_full_unstemmed GeneBrowser 2: an application to explore and identify common biological traits in a set of genes
title_short GeneBrowser 2: an application to explore and identify common biological traits in a set of genes
title_sort genebrowser 2: an application to explore and identify common biological traits in a set of genes
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2919517/
https://www.ncbi.nlm.nih.gov/pubmed/20663121
http://dx.doi.org/10.1186/1471-2105-11-389
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