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Genetic identification by NoorGIS software to identify martyrs in military accidents

Miri, A ; Sharif University of Technology

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  1. Type of Document: Article
  2. Abstract:
  3. Aims: Due to large sized genetic database of population in a given society, researchers face serious problem to analyze genetic data and provide accurate genetic identification. Variation in molecular markers such as SNPs, mtDNAs, STRs and Y-chromosome are utilized for different purposes, including genetic identification. In our country due to natural disasters and imposed war, the use of this technology was considered and according to the requirements, an optimal database was designed that has the capability of analyzing genetic data. Methods: After obtaining individual genetic information, a software was designed for the analysis of genetic information as well as to serve as a common genetic database which contained application-specific local data search capabilities, characterization of individual genetic information, and its application. The software was named as NoorGIS. Results: By use of NoorGIS software, it was possible to study and compare genetic relationship between individuals and a given population, investigate personal genetic information, process obtained genetic information by employing genetic similarities and information and also enhancing the capabilities of the software to achieve favorable outcomes in genetic identification. This software was assessed at the Human Genetics Research Center and successfully used to genetically identify unknown martyrs of the imposed Iraq-Iran war and military accidents. Conclusion: With this comprehensive software, personal and genetic data can be stored and utilized for the identification purposes. The results are also approved from the scientific and legal aspects
  4. Keywords:
  5. Database ; Forensic genetics ; Short tandem repeats ; Software
  6. Source: Journal of Military Medicine ; Vol. 15, issue. 4 , 2014 , pp. 267-271 ; ISSN: 17351537
  7. URL: http://www.militarymedj.ir/browse.php?a_code=A-10-979-1&slc_lang=en&sid=1&sw=Genetic+identification+by+NoorGI