Using Bioinformatics Application to Predict and Detect Single Nucleotide Polymorphism (SNP) in Eukaryotic Organism

The rapid development of bioinformatics has made data analysis essential for understanding biological processes requiring advanced molecular techniques for detection and prediction based on specific artificial intelligent program and algorithm such as ANN (Artificial Neural Network). The main objective of this research to predictive for rotifer (Brachionus plicatilis and Brachionus calyciflorus) depending genetic data which including fifty samples from rotifers species collected from different area in Basrah city water. Fifty samples of the ۱۸S rRNA gene products were subjected to PCR amplification and sequencer also applied ANN program to predict and detect SNP, this study considered one of the very encouragement researches for highly confirmed technique in different types of rotifers with short time and low cost application

کلیدواژه ها:

ANN ، Artificial intelligence ، ۱۸S rRNA gene ، Nucleotide Sequence ، Rotifers