DNA sequencing refers to the process of determining the exact order of nucleotides within a DNA molecule, which is crucial for identifying genetic variations and disease associations. DNA sequencing includes collecting and interpreting strands of DNA. It lets scientists read the sequence of bases along a DNA strand, revealing the genetic information encoded within the DNA. Modern sciences rely a lot on DNA sequencing. It promotes advancement in various disciplines, including genetics, meta-genetics, and phylogenetics. This study compares DNA sequencing with predictive analysis techniques such as decision trees, random forest, Naive Bayes, transform learning and CNN. The predictive analysis models in this paper are widely recognized. The algorithms used in this paper for comparison analysis are decision tree, random forest, Naive Bayes, CNN and transform learning.