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In Vivo Functional Study of Disease-associated Rare Human Variants Using Drosophila
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PhenOMIM: an OMIM-based secondary database purported for phenotypic comparison.

Han J W van Triest1, Danqi Chen, Xinglai Ji

  • 1Sino-Dutch Biomedical and Information Engineering School, Northeastern University, Shenyang 110003, China. han@bmie.neu.edu.cn

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
|January 19, 2012
PubMed
Summary

This study introduces PhenOMIM, a structured database for hereditary disorder phenotypes from OMIM. It facilitates deeper understanding of disease molecular interactions and genetic conditions.

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Area of Science:

  • Genetics and Bioinformatics
  • Medical Informatics
  • Molecular Biology

Background:

  • Phenotypic comparison offers insights into molecular interactions in diseases.
  • Systematic analysis of hereditary disorder phenotypes is limited due to poor text quality and lack of standardized descriptors.

Purpose of the Study:

  • To develop a structured database (PhenOMIM) for translating phenotypic data from the Online Mendelian Inheritance in Man (OMIM) database.
  • To create a web interface for visualizing OMIM and PhenOMIM data.

Main Methods:

  • Extraction and structuring of phenotypic data from the OMIM database.
  • Development of a web-based visualization tool for the structured data.

Main Results:

  • Creation of PhenOMIM, a secondary database translating OMIM phenotypic information into a structured format.
  • Implementation of a web interface for data visualization and access.

Conclusions:

  • PhenOMIM provides a valuable resource for analyzing hereditary disorder phenotypes.
  • The structured data and visualization tools enhance the study of genotype-phenotype relationships and molecular disease mechanisms.