Visualization of omics data for systems biology.
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.
Gehlenborg
Nils
N
European Bioinformatics Institute, Cambridge, UK.
O'Donoghue
Seán I
SI
Baliga
Nitin S
NS
Goesmann
Alexander
A
Hibbs
Matthew A
MA
Kitano
Hiroaki
H
Kohlbacher
Oliver
O
Neuweger
Heiko
H
Schneider
Reinhard
R
Tenenbaum
Dan
D
Gavin
Anne-Claude
AC
D023281:Genomics; D007091:Image Processing, Computer-Assisted; D013058:Mass Spectrometry; D055432:Metabolomics; D019906:Nuclear Magnetic Resonance, Biomolecular; D011485:Protein Binding; D040901:Proteomics; D049490:Systems Biology