Khadijeh Nazari 1

Dr.Ali Karami 2

Dr. Nezamodin Mahdavi Amiri 3

1M.Sc  in computer science , Sharif Univercity of Technology , Tehran , Iran

2Department of Medical Biotechnology , Molecular Biology Research Center , Baqiyatallah Univercity of Medical science , Tehran , Iran

3Professor Department of Mathrmatics , Sharif Univercity of of Technology , Tehran , Iran

Abstract:

Background and purpose: Microarray technology is the combination of different Sciences utilities such as Molecular Biology, Microelectronics, Microfluidics and Bioinformatics. Microarray technology can be seen as a continued development of southern blotting. By using this technology we can investigate, simultaneously, thousands of genetic or protein targets in single slides. DNA microarrays consist of micro scale spots of single stranded probes attached to a solid surface such as glass slides, plastic or silicon chip and formed as an array.

Materials and methods: We present here E-Predict algorithm and DetectiV package, for microarray based species identification. We demonstrate the application of 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 a package for R - powerful, open source software for statistical programming that containing visualization, normalization and significance testing function