Online Mendelian Inheritance in Man (OMIM) is a knowledge source and data base for human genetic diseases and related genes. Each OMIM entry includes clinical synopsis, linkage analysis for candidate genes, chromosomal localization and animal models, which has become an authoritative source of information for the study of the relationship between genes and diseases. As overlap of disease symptoms may reflect interactions at the molecular level, comparison of phenotypic similarity may indicate candidate genes and help to discover functional connections between genes and proteins. However, the OMIM has used free text to describe disease phenotypes, which does not suit computer analysis. Standardization of OMIM data therefore has important implications for large-scale comparison of disease phenotypes and prediction of phenotype-genotype correlations. Recently, standard medical language systems, term frequency-inverse document frequency and the law of cosines for document classification have been introduced for mining of OMIM data. Combined with Gene Ontology and various comparison methods, this has achieved substantial successes. In this article, we have reviewed various methods for standardization and similarity comparison of OMIM data. We also predicted the trend for research in this direction.
Databases, Genetic ; Humans ; Phenotype

Objective:To establish the HPLC fingerprint detection method for gynecological lotion. Methods:Wondasil C18 (250 mm × 4. 6 mm,5 μm)was selected as the analytical column. The mobile phase was composed of acetonitrile-0. 3% phosphric acid and 0. 3% diethylamine solution with gradient elution at a flow rate of 1. 0 ml·min-1 . The detection wavelength was set at 284 nm and the column temperature was 30℃. Ten batches of gynecological lotion were detected by the HPLC fingerprint and evaluated by Chromato-graphic Fingerprint Evaluation System of Chinese Medicine (2004 edition). Results: The separated peaks were clear and 15 common peaks were identified in the fingerprint of 10 batches of gynecological lotion. Conclusion: The HPLC fingerprint is with good repeat-ability and stability, which can provide evidence for the quality control of gynecological lotion.