Use of GeIS for Early Diagnosis of Alcohol Sensitivity

This study focuses on the importance of Genomic Information Systems (GeIS) today; the results of this research provide great benefits to the medical community through technological potential. The development of SILE (Search-Identification-Load-Exploitation) to GeIS improves the databases management with curated data. The studies are focused on improving the quality of data and time optimization. With SILE we perform a selective loading of genes and variations found for a specific disease from different data sources like: NCBI, dbSNP and others. When we worked with a selected group of genes/variations it is possible guaranteeing a more reliable diagnosis, thus sustaining the increase accuracy of the results with respect to data quality and improvements over time. Also, we integrate the association of genes/variations with population studies, for this way providing an early diagnosis for any disease of genetic origin.

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