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BACA: bubble chArt to compare annotations

BACKGROUND: DAVID is the most popular tool for interpreting large lists of gene/proteins classically produced in high-throughput experiments. However, the use of DAVID website becomes difficult when analyzing multiple gene lists, for it does not provide an adequate visualization tool to show/compare...

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Detalles Bibliográficos
Autores principales: Fortino, Vittorio, Alenius, Harri, Greco, Dario
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4377007/
https://www.ncbi.nlm.nih.gov/pubmed/25652236
http://dx.doi.org/10.1186/s12859-015-0477-4
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author Fortino, Vittorio
Alenius, Harri
Greco, Dario
author_facet Fortino, Vittorio
Alenius, Harri
Greco, Dario
author_sort Fortino, Vittorio
collection PubMed
description BACKGROUND: DAVID is the most popular tool for interpreting large lists of gene/proteins classically produced in high-throughput experiments. However, the use of DAVID website becomes difficult when analyzing multiple gene lists, for it does not provide an adequate visualization tool to show/compare multiple enrichment results in a concise and informative manner. RESULT: We implemented a new R-based graphical tool, BACA (Bubble chArt to Compare Annotations), which uses the DAVID web service for cross-comparing enrichment analysis results derived from multiple large gene lists. BACA is implemented in R and is freely available at the CRAN repository (http://cran.r-project.org/web/packages/BACA/). CONCLUSION: The package BACA allows R users to combine multiple annotation charts into one output graph by passing DAVID website. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12859-015-0477-4) contains supplementary material, which is available to authorized users.
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spelling pubmed-43770072015-03-29 BACA: bubble chArt to compare annotations Fortino, Vittorio Alenius, Harri Greco, Dario BMC Bioinformatics Software BACKGROUND: DAVID is the most popular tool for interpreting large lists of gene/proteins classically produced in high-throughput experiments. However, the use of DAVID website becomes difficult when analyzing multiple gene lists, for it does not provide an adequate visualization tool to show/compare multiple enrichment results in a concise and informative manner. RESULT: We implemented a new R-based graphical tool, BACA (Bubble chArt to Compare Annotations), which uses the DAVID web service for cross-comparing enrichment analysis results derived from multiple large gene lists. BACA is implemented in R and is freely available at the CRAN repository (http://cran.r-project.org/web/packages/BACA/). CONCLUSION: The package BACA allows R users to combine multiple annotation charts into one output graph by passing DAVID website. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12859-015-0477-4) contains supplementary material, which is available to authorized users. BioMed Central 2015-02-05 /pmc/articles/PMC4377007/ /pubmed/25652236 http://dx.doi.org/10.1186/s12859-015-0477-4 Text en © Fortino et al.; licensee BioMed Central. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Software
Fortino, Vittorio
Alenius, Harri
Greco, Dario
BACA: bubble chArt to compare annotations
title BACA: bubble chArt to compare annotations
title_full BACA: bubble chArt to compare annotations
title_fullStr BACA: bubble chArt to compare annotations
title_full_unstemmed BACA: bubble chArt to compare annotations
title_short BACA: bubble chArt to compare annotations
title_sort baca: bubble chart to compare annotations
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4377007/
https://www.ncbi.nlm.nih.gov/pubmed/25652236
http://dx.doi.org/10.1186/s12859-015-0477-4
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