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العنوان
A novel population genetic variation assessment algorithm with graphical perspective /
الناشر
Sagy Elsayed Mohamed Elzalabany ,
المؤلف
Sagy Elsayed Mohamed Elzalabany
هيئة الاعداد
باحث / Sagy Elsayed Mohamed Elzalabany
مشرف / Sahar Fawz
مشرف / Olfat Shaker
مشرف / Sahar Fawz
تاريخ النشر
2019
عدد الصفحات
102 P. :
اللغة
الإنجليزية
الدرجة
الدكتوراه
التخصص
الهندسة الطبية الحيوية
تاريخ الإجازة
21/8/2019
مكان الإجازة
جامعة القاهرة - كلية الهندسة - Systems and Biomedical Engineering
الفهرس
Only 14 pages are availabe for public view

from 175

from 175

Abstract

DNA fingerprinting is the main step to assist identification of individuals based on their respective DNA profiles. This research aims to establish a complete DNA fingerprinting map for Egyptian population using 9 Short Tandem Repeats (SRTs) loci D3S1358, VWA, FGA, TH01, TPOX, CSF1PO, D5S818, D13S317 and D7S820. Then, the genetic characteristics of allele frequencies data were studied for 15 autosomal STRs loci (D19S433, FGA, vWA, CSF1PO, TPOX, TH01, D5S818, D7S820, D13S317, D21S11, D8S1179, D18S51, D2S1338, D16S539, and D3S1358) for more than 60 populations and ethnic groups. Moreover, for all the populations under study, a visual and statistical comparative analysis were made to obtain the global gene profile, which is average of populations{u2019} alleles frequencies, and populations discriminative genetic features such as, the highest frequencies alleles, the lowest frequencies alleles, and rare alleles. Besides, building an Allele Frequency Quality Control System (AFQCS) which automatically compares, evaluates, and then updates its database with the validated tested input data