Review abstract


Nature Methods 7, S56 - S68 (2010)
doi:10.1038/nmeth.1436

Visualization of omics data for systems biology

Nils Gehlenborg1,2, Seán I O'Donoghue1, Nitin S Baliga4, Alexander Goesmann5, Matthew A Hibbs6, Hiroaki Kitano7,8,9, Oliver Kohlbacher10, Heiko Neuweger5, Reinhard Schneider3, Dan Tenenbaum4 & Anne-Claude Gavin3


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.

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  1. European Bioinformatics Institute, Cambridge, UK.
  2. Graduate School of Life Sciences, University of Cambridge, Cambridge, UK.
  3. European Molecular Biology Laboratory, Heidelberg, Germany.
  4. Institute for Systems Biology, Seattle, Washington, USA.
  5. CeBiTec, Bielefeld University, Bielefeld, Germany.
  6. The Jackson Laboratory, Bar Harbor, Maine, USA.
  7. Sony Computer Science Laboratories, Tokyo, Japan.
  8. The Systems Biology Institute, Tokyo, Japan.
  9. Okinawa Institute of Science and Technology, Okinawa, Japan.
  10. University of Tübingen, Tübingen, Germany.

Correspondence to: Seán I O'Donoghue1 e-mail: sean.odonoghue@embl.de.