2024-03-28T19:53:20Zhttp://digital.csic.es/dspace-oai/requestoai:digital.csic.es:10261/1161642021-12-28T16:32:53Zcom_10261_44755com_10261_1col_10261_44757
BicOverlapper 2.0: visual analysis for gene expression
Santamaría, Rodrigo
Therón, Roberto
Quintales, Luis
Ministerio de Ciencia e Innovación (España)
Ministerio de Economía y Competitividad (España)
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License.
[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. © 2014 The Author. Published by Oxford University Press. All rights reserved.
2015-06-03T13:45:24Z
2015-06-03T13:45:24Z
2014
2015-06-03T13:45:24Z
artículo
Bioinformatics 30(12): 1785-1786 (2014)
http://hdl.handle.net/10261/116164
10.1093/bioinformatics/btu120
http://dx.doi.org/10.13039/501100004837
http://dx.doi.org/10.13039/501100003329
24590442
eng
Publisher's version
http://dx.doi.org/10.1093/bioinformatics/btu120
Sí
http://creativecommons.org/licenses/by-nc/3.0/
openAccess
Oxford University Press