CIVILICA We Respect the Science
(ناشر تخصصی کنفرانسهای کشور / شماره مجوز انتشارات از وزارت فرهنگ و ارشاد اسلامی: ۸۹۷۱)

Microarray Data Analysis for Detection and Classification of Viral Infection

عنوان مقاله: Microarray Data Analysis for Detection and Classification of Viral Infection
شناسه (COI) مقاله: JR_JABR-1-1_004
منتشر شده در شماره 1 دوره 1 فصل زمستان در سال 1392
مشخصات نویسندگان مقاله:

Khadijeh Nazari - Faculty of Mathematics, Sharif University of Technology, Tehran, Iran
Ali Karami - Research Center of Molecular Biology,Baqiyatallah University of Medical Sciences, Tehran, Iran
Nezameddin Mahdavi Amiri - Faculty of Mathematics, Sharif University of Technology, Tehran, Iran
Fateme Pourali - Research Center of Molecular Biology,Baqiyatallah University of Medical Sciences, Tehran, Iran

خلاصه مقاله:
DNA microarrays consist of collection of DNA microscopic spots that In order to form an array attached to a solid surface such as glass, plastic or silicon chip. Thepieces of fixed DNA considered as a searcher. In this technology it is possible to test sample against thousands probes for specific genes. With this ability, arrays accelerate the biological investigations, gene finding, molecular detection and disease diagnosis. Microarray technology can be seen as a continued development of southernblotting. The most important stage in this technology is data analysis. To analysis such large data whit high degree of confidence and reliability needs reliable bioinformatics tools.Infectious diseases still is major problem for human. One of the mostimportant application of microarray technology is the possibility of testing for the presence of thousands micro-organism in environmental and clinical samples only in a single excrement. Thereby we take an important step in rapid and accurate detectionof infectious diseases. Here, we present E-Predict algorithm and DetectiV package that is based on species identification in microarray. We demonstrate the applicationof E-Predict and DetectiV for viral detection in a large publicly available dataset and show that DetectiV performs better than E-Predict. DetectiV is implemented as apackage for R - powerful, open source software for statistical programming - that containing visualization, normalization and significance testing functions

کلمات کلیدی:
Microarray, Microarray Data Analysis, Infectious Diseases

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/541198/