Reference : Visualization of omics data for systems biology
Scientific journals : Article
Life sciences : Biochemistry, biophysics & molecular biology
Visualization of omics data for systems biology
Gehlenborg, Nils [> >]
O'Donoghue, Sean I. [> >]
Baliga, Nitin S. [> >]
Goesmann, Alexander [> >]
Hibbs, Matthew A. [> >]
Kitano, Hiroaki [> >]
Kohlbacher, Oliver [> >]
Neuweger, Heiko [> >]
Schneider, Reinhard mailto [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > > ; European Molecular Biology Laboratory - EMBL]
Tenenbaum, Dan [> >]
Gavin, Anne-Claude [> >]
Nature Methods
Nature Publishing Group
Yes (verified by ORBilu)
[en] High-throughput studies of biological systems are rapidly accumulating a wealth of 'omics'-scale data. Visualization is a key aspect of both the analysis and understanding of these data, and users now have many visualization methods and tools to choose from. The challenge is to create clear, meaningful and integrated visualizations that give biological insight, without being overwhelmed by the intrinsic complexity of the data. In this review, we discuss how visualization tools are being used to help interpret protein interaction, gene expression and metabolic profile data, and we highlight emerging new directions.
Luxembourg Centre for Systems Biomedicine (LCSB): Bioinformatics Core (R. Schneider Group)

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