Publication: Using the Semantic Web for Rapid Integration of WikiPathways with Other Biological Online Data Resources

On June 23, 2016, Posted by , In Publications, By ,,,,,,,,, , With Comments Off on Publication: Using the Semantic Web for Rapid Integration of WikiPathways with Other Biological Online Data Resources

The diversity of online resources storing biological data in different formats provides a challenge for bioinformaticians to integrate and analyse their biological data. The semantic web provides a standard to facilitate knowledge integration using statements built as triples describing a relation between two objects. WikiPathways, an online collaborative pathway resource,…

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Open PHACTS PLoS ONE publication

On December 18, 2014, Posted by , In News, By ,, , With Comments Off on Open PHACTS PLoS ONE publication

Some great examples of how Open PHACTS can help solve drug discovery problems have just been published in the open access journal PLOS ONE: The Application of the Open Pharmacological Concepts Triple Store (Open PHACTS) to Support Drug Discovery Research

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Publication: The Application of the Open Pharmacological Concepts Triple Store (Open PHACTS) to Support Drug Discovery Research

On December 18, 2014, Posted by , In Publications, By ,,,,,,,,,,,,,,,,,,, , With Comments Off on Publication: The Application of the Open Pharmacological Concepts Triple Store (Open PHACTS) to Support Drug Discovery Research

Integration of open access, curated, high-quality information from multiple disciplines in the Life and Biomedical Sciences provides a holistic understanding of the domain. Additionally, the effective linking of diverse data sources can unearth hidden relationships and guide potential research strategies. However, given the lack of consistency between descriptors and identifiers…

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Publication: Generic Information Can Retrieve Known Biological Associations: Implications for Biomedical Knowledge Discovery

On November 19, 2013, Posted by , In Publications, By ,,,,, , With Comments Off on Publication: Generic Information Can Retrieve Known Biological Associations: Implications for Biomedical Knowledge Discovery

Weighted semantic networks built from text-mined literature can be used to retrieve known protein-protein or gene-disease associations, and have been shown to anticipate associations years before they are explicitly stated in the literature. Our text-mining system recognizes over 640,000 biomedical concepts: some are specific (i.e., names of genes or proteins)…

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