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BicOverlapper 2.0: visual analysis for gene expression
Motivation: Systems biology demands the use of several point of views to get a more comprehensive understanding of biological problems. This usually leads to take into account different data regarding the problem at hand, but it also has to do with using different perspectives of the same data. This...
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/PMC4058931/ https://www.ncbi.nlm.nih.gov/pubmed/24590442 http://dx.doi.org/10.1093/bioinformatics/btu120 |
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author | Santamaría, Rodrigo Therón, Roberto Quintales, Luis |
author_facet | Santamaría, Rodrigo Therón, Roberto Quintales, Luis |
author_sort | Santamaría, Rodrigo |
collection | PubMed |
description | Motivation: Systems biology demands the use of several point of views to get a more comprehensive understanding of biological problems. This usually leads to take into account different data regarding the problem at hand, but it also has to do with using different perspectives of the same data. This multifaceted aspect of systems biology often requires the use of several tools, and it is often hard to get a seamless integration of all of them, which would help the analyst to have an interactive discourse with the data. Results: Focusing on expression profiling, BicOverlapper 2.0 visualizes the most relevant aspects of the analysis, including expression data, profiling analysis results and functional annotation. It also integrates several state-of-the-art numerical methods, such as differential expression analysis, gene set enrichment or biclustering. Availability and implementation: BicOverlapper 2.0 is available at: http://vis.usal.es/bicoverlapper2 Contact: rodri@usal.es |
format | Online Article Text |
id | pubmed-4058931 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-40589312014-06-18 BicOverlapper 2.0: visual analysis for gene expression Santamaría, Rodrigo Therón, Roberto Quintales, Luis Bioinformatics Applications Notes Motivation: Systems biology demands the use of several point of views to get a more comprehensive understanding of biological problems. This usually leads to take into account different data regarding the problem at hand, but it also has to do with using different perspectives of the same data. This multifaceted aspect of systems biology often requires the use of several tools, and it is often hard to get a seamless integration of all of them, which would help the analyst to have an interactive discourse with the data. Results: Focusing on expression profiling, BicOverlapper 2.0 visualizes the most relevant aspects of the analysis, including expression data, profiling analysis results and functional annotation. It also integrates several state-of-the-art numerical methods, such as differential expression analysis, gene set enrichment or biclustering. Availability and implementation: BicOverlapper 2.0 is available at: http://vis.usal.es/bicoverlapper2 Contact: rodri@usal.es Oxford University Press 2014-06-15 2014-03-03 /pmc/articles/PMC4058931/ /pubmed/24590442 http://dx.doi.org/10.1093/bioinformatics/btu120 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 Santamaría, Rodrigo Therón, Roberto Quintales, Luis BicOverlapper 2.0: visual analysis for gene expression |
title | BicOverlapper 2.0: visual analysis for gene expression |
title_full | BicOverlapper 2.0: visual analysis for gene expression |
title_fullStr | BicOverlapper 2.0: visual analysis for gene expression |
title_full_unstemmed | BicOverlapper 2.0: visual analysis for gene expression |
title_short | BicOverlapper 2.0: visual analysis for gene expression |
title_sort | bicoverlapper 2.0: visual analysis for gene expression |
topic | Applications Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4058931/ https://www.ncbi.nlm.nih.gov/pubmed/24590442 http://dx.doi.org/10.1093/bioinformatics/btu120 |
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