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Gene List significance at-a-glance with GeneValorization
Motivation: High-throughput technologies provide fundamental informations concerning thousands of genes. Many of the current research laboratories daily use one or more of these technologies and end-up with lists of genes. Assessing the originality of the results obtained includes being aware of the...
Autores principales: | , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3072546/ https://www.ncbi.nlm.nih.gov/pubmed/21349868 http://dx.doi.org/10.1093/bioinformatics/btr073 |
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author | Brancotte, Bryan Biton, Anne Bernard-Pierrot, Isabelle Radvanyi, François Reyal, Fabien Cohen-Boulakia, Sarah |
author_facet | Brancotte, Bryan Biton, Anne Bernard-Pierrot, Isabelle Radvanyi, François Reyal, Fabien Cohen-Boulakia, Sarah |
author_sort | Brancotte, Bryan |
collection | PubMed |
description | Motivation: High-throughput technologies provide fundamental informations concerning thousands of genes. Many of the current research laboratories daily use one or more of these technologies and end-up with lists of genes. Assessing the originality of the results obtained includes being aware of the number of publications available concerning individual or multiple genes and accessing information about these publications. Faced with the exponential growth of publications avaliable and number of genes involved in a study, this task is becoming particularly difficult to achieve. Results: We introduce GeneValorization, a web-based tool that gives a clear and handful overview of the bibliography available corresponding to the user input formed by (i) a gene list (expressed by gene names or ids from EntrezGene) and (ii) a context of study (expressed by keywords). From this input, GeneValorization provides a matrix containing the number of publications with co-occurrences of gene names and keywords. Graphics are automatically generated to assess the relative importance of genes within various contexts. Links to publications and other databases offering information on genes and keywords are also available. To illustrate how helpful GeneValorization is, we will consider the gene list of the OncotypeDX prognostic marker test. Availability: http://bioguide-project.net/gv Contact: cohen@lri.fr Supplementary information: Supplementary data are available at Bioinformatics online. |
format | Text |
id | pubmed-3072546 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-30725462011-04-11 Gene List significance at-a-glance with GeneValorization Brancotte, Bryan Biton, Anne Bernard-Pierrot, Isabelle Radvanyi, François Reyal, Fabien Cohen-Boulakia, Sarah Bioinformatics Applications Note Motivation: High-throughput technologies provide fundamental informations concerning thousands of genes. Many of the current research laboratories daily use one or more of these technologies and end-up with lists of genes. Assessing the originality of the results obtained includes being aware of the number of publications available concerning individual or multiple genes and accessing information about these publications. Faced with the exponential growth of publications avaliable and number of genes involved in a study, this task is becoming particularly difficult to achieve. Results: We introduce GeneValorization, a web-based tool that gives a clear and handful overview of the bibliography available corresponding to the user input formed by (i) a gene list (expressed by gene names or ids from EntrezGene) and (ii) a context of study (expressed by keywords). From this input, GeneValorization provides a matrix containing the number of publications with co-occurrences of gene names and keywords. Graphics are automatically generated to assess the relative importance of genes within various contexts. Links to publications and other databases offering information on genes and keywords are also available. To illustrate how helpful GeneValorization is, we will consider the gene list of the OncotypeDX prognostic marker test. Availability: http://bioguide-project.net/gv Contact: cohen@lri.fr Supplementary information: Supplementary data are available at Bioinformatics online. Oxford University Press 2011-04-15 2011-02-23 /pmc/articles/PMC3072546/ /pubmed/21349868 http://dx.doi.org/10.1093/bioinformatics/btr073 Text en © The Author(s) 2011. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/2.5 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.5), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Applications Note Brancotte, Bryan Biton, Anne Bernard-Pierrot, Isabelle Radvanyi, François Reyal, Fabien Cohen-Boulakia, Sarah Gene List significance at-a-glance with GeneValorization |
title | Gene List significance at-a-glance with GeneValorization |
title_full | Gene List significance at-a-glance with GeneValorization |
title_fullStr | Gene List significance at-a-glance with GeneValorization |
title_full_unstemmed | Gene List significance at-a-glance with GeneValorization |
title_short | Gene List significance at-a-glance with GeneValorization |
title_sort | gene list significance at-a-glance with genevalorization |
topic | Applications Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3072546/ https://www.ncbi.nlm.nih.gov/pubmed/21349868 http://dx.doi.org/10.1093/bioinformatics/btr073 |
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