[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.
Centre de recherche :
- Luxembourg Centre for Systems Biomedicine (LCSB): Bioinformatics Core (R. Schneider Group)
Disciplines :
Biochimie, biophysique & biologie moléculaire
Identifiants :
UNILU:UL-ARTICLE-2012-052
Auteur, co-auteur :
Gehlenborg, Nils
O'Donoghue, Sean I.
Baliga, Nitin S.
Goesmann, Alexander
Hibbs, Matthew A.
Kitano, Hiroaki
Kohlbacher, Oliver
Neuweger, Heiko
SCHNEIDER, Reinhard ; University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) ; European Molecular Biology Laboratory - EMBL
