Journal article
Authors list: Gehlenborg, N; O'Donoghue, SI; Baliga, NS; Goesmann, A; Hibbs, MA; Kitano, H; Kohlbacher, O; Neuweger, H; Schneider, R; Tenenbaum, D; Gavin, AC
Publication year: 2010
Pages: S56-S68
Journal: Nature Methods
Volume number: 7
Issue number: 3, Suppl.
ISSN: 1548-7091
eISSN: 1548-7105
DOI Link: https://doi.org/10.1038/NMETH.1436
Publisher: Nature Research
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.
Citation Styles
Harvard Citation style: Gehlenborg, N., O'Donoghue, S., Baliga, N., Goesmann, A., Hibbs, M., Kitano, H., et al. (2010) Visualization of omics data for systems biology, Nature Methods, 7(3, Suppl.), pp. S56-S68. https://doi.org/10.1038/NMETH.1436
APA Citation style: Gehlenborg, N., O'Donoghue, S., Baliga, N., Goesmann, A., Hibbs, M., Kitano, H., Kohlbacher, O., Neuweger, H., Schneider, R., Tenenbaum, D., & Gavin, A. (2010). Visualization of omics data for systems biology. Nature Methods. 7(3, Suppl.), S56-S68. https://doi.org/10.1038/NMETH.1436
