Visualization of omics data for systems biology View Full Text


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Article Info

DATE

2010-03

AUTHORS

Nils Gehlenborg, Seán I O'Donoghue, Nitin S Baliga, Alexander Goesmann, Matthew A Hibbs, Hiroaki Kitano, Oliver Kohlbacher, Heiko Neuweger, Reinhard Schneider, Dan Tenenbaum, Anne-Claude Gavin

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. More... »

PAGES

s56

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  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/nmeth.1436

    DOI

    http://dx.doi.org/10.1038/nmeth.1436

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1002033837

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/20195258


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