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DEWAR Lab

Customizable views on semantically integrated networks for systems biology.

AUTHORS

Weile JJochen , Pocock M Matthew , Cockell SJ Simon J , Lord P Phillip , Dewar JM James M , Holstein EM Eva-Maria , Wilkinson D Darren , Lydall D David , Hallinan J Jennifer , Wipat A Anil . Bioinformatics (Oxford, England). 2011 5 1; 27(9). 1299-306

ABSTRACT

The rise of high-throughput technologies in the post-genomic era has led to the production of large amounts of biological data. Many of these datasets are freely available on the Internet. Making optimal use of these data is a significant challenge for bioinformaticians. Various strategies for integrating data have been proposed to address this challenge. One of the most promising approaches is the development of semantically rich integrated datasets. Although well suited to computational manipulation, such integrated datasets are typically too large and complex for easy visualization and interactive exploration.

The rise of high-throughput technologies in the post-genomic era has led to the production of large amounts of biological data. Many of these datasets are freely available on the Internet. Making optimal use of these data is a significant challenge for bioinformaticians. Various strategies for integrating data have been proposed to address this challenge. One of the most promising approaches is the development of semantically rich integrated datasets. Although well suited to computational manipulation, such integrated datasets are typically too large and complex for easy visualization and interactive exploration.