title: Visualization of omics data for systems biology.
abstract: 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.
authors.affiliation: European Bioinformatics Institute, Cambridge, UK.
authors.forename: Nils
authors.initials: N
authors.lastname: Gehlenborg
authors.forename: Seán I
authors.initials: SI
authors.lastname: O'Donoghue
authors.forename: Nitin S
authors.initials: NS
authors.lastname: Baliga
authors.forename: Alexander
authors.initials: A
authors.lastname: Goesmann
authors.forename: Matthew A
authors.initials: MA
authors.lastname: Hibbs
authors.forename: Hiroaki
authors.initials: H
authors.lastname: Kitano
authors.forename: Oliver
authors.initials: O
authors.lastname: Kohlbacher
authors.forename: Heiko
authors.initials: H
authors.lastname: Neuweger
authors.forename: Reinhard
authors.initials: R
authors.lastname: Schneider
authors.forename: Dan
authors.initials: D
authors.lastname: Tenenbaum
authors.forename: Anne-Claude
authors.initials: AC
authors.lastname: Gavin
mesh_terms: 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