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A Web-based platform to find out relations between OMIC data and clinical features
1Biological Information Research Center, National Institute of Advanced Industrial Science and Technology, Tokyo, Japan.
Abstract:
We developed a platform that visualizes all the dimensions of so-called 'OMIC' data from genomic, transcriptomic, and proteomic domains, and helps users identify interesting data dimensions that might be associated with a set of clinical features of diseases. For this, we organized the textual descriptions of Clinical Synopsis fields in OMIM (Online Mendelian Inheritance in Man) into a quantitative format, and developed a Web-based interactive and graphical search system.
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