BicOverlapper 2.0: visual analysis for gene expression. (3rd March 2014)

• Record Type: Journal Article
• Authors: Santamaría, Rodrigo; Therón, Roberto; Quintales, Luis
• Is Part Of: Bioinformatics. Volume 30:Number 12(2014)
• Page Start: 1785
• Page End: 1786
• Publication Date: 2014-03-03
• Subjects: Bioinformatics -- Periodicals; Genomics -- Data processing -- Periodicals; Computational biology -- Periodicals; 572.80285
• DOI: 10.1093/bioinformatics/btu120
• Languages: English
• ISSNs: 1367-4803

Abstract

Abstract : 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: [e-mail]