DNA Sequencing using M achine L earning and D eep L earning A lgorithms

DNA Sequencing plays a vital role in the modern research. It allows large number of multiple areas to progress, as well genetics, meta-genetics, and phylogenetics. involves extracting reading strands DNA. This research paper aims at comparing using “Machine Learning algorithms (Decision Trees, Random Forest, Naive Bayes) Deep (Transform CNN)”. The aim our proposed system is implement better prediction model for get most accurate results out it. “machine learning deep models” which are being considered used reputed. A accuracy higher range also performer different medical domains. models include “Decision Tree, Bayes, CNN, Transform Learning”. Bayes method gave greater 98.00 percent machine transform algorithm produced 94.57 learning, respectively.