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Identification of "pathologs" (disease-related genes) from the RIKEN mouse cDNA dataset using human curation plus FACTS, a new biological information extraction system

Silva, Diego; Schonbach, Christian; Brusic, Vladimir; Socha, L; Nagashima, Takeshi; Petrovsky, Nikolai


BACKGROUND: A major goal in the post-genomic era is to identify and characterise disease susceptibility genes and to apply this knowledge to disease prevention and treatment. Rodents and humans have remarkably similar genomes and share closely related biochemical, physiological and pathological pathways. In this work we utilised the latest information on the mouse transcriptome as revealed by the RIKEN FANTOM2 project to identify novel human disease-related candidate genes. We define a new...[Show more]

CollectionsANU Research Publications
Date published: 2004-04-29
Type: Journal article
Source: BMC Genomics
DOI: 10.1186/1471-2164-5-28


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