A Web-based platform to find out relations between OMIC data and clinical features.
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.
Hishiki
Teruyoshi
T
Biological Information Research Center, National Institute of Advanced Industrial Science and Technology, Tokyo, Japan.
D030541:Databases, Genetic; D015870:Gene Expression; D005796:Genes; D030342:Genetic Diseases, Inborn / Q000235:genetics*; D020022:Genetic Predisposition to Disease / Q000235:genetics; D006801:Humans; D020407:Internet