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The Power of an Integrated Informatic and Molecular Approach to Type 1 Diabetes Research

Petrovsky, Nikolai; Silva, Diego


Recent years have witnessed an explosive growth in available biological data. This includes a tremendous quantity of sequence data (e.g., biological structures, genetic and physical maps, pathways) generated by genome and transcriptome projects focused on humans, mice, and a multitude of other species. Diabetes research stands to greatly benefit from this data, which is distributed across public and private databases and the scientific literature. The increasing quantity and complexity of this...[Show more]

CollectionsANU Research Publications
Date published: 2004
Type: Journal article
Source: Annals of the New York Academy of Sciences
DOI: 10.1196/annals.1337.035


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