Parental comparison investigation is a technique for oppressing DNA grouping to precise strategies so as to realize the qualities character, setup, nature and attributes. Correlation Based Clustering and Modified Naive Bayesian Classification applied to quality succession information investigation, means to isolate ailing diabetic qualities from a huge stream of DNA quality arrangement components present in gathering of plentiful measurable information. This procedures endeavors to affirm, decide techniques and apparatuses for investigating sick quality successions. It likewise helps in characterization and translation of results precisely and seriously. This investigation is a mix of regulated and solo AI method for information examination. The grouping is finished by CBC though order done by MNBC procedures. It perceives quality articulations by confining affiliation rules as per bolster measure and certainty measure on the information informational collection. It will concentrate and channel required information into bunches dependent on CBC method in this way drafting affiliation rules. These are then applied on testing dataset to channel required (infected) quality groupings. At long last MLRC calculation is applied as order calculation to distinguish class marks of test qualities successions in a major dataset. This research has observed the results of three main phases. Phase-1 is concerned with Gene Sequence Analysis wherein analysis and classification of Basic Genetic Sequences (Introns and Exons) are done. Phase-2 of the studies deal with Medical Diagnosis - Disease Prediction which is associated to analysis and classification Protein Sequences that helps in disease prediction- mutation diabetics. Phase-3 is related to Parental Comparison during which analysis and classification of parental gene comparisons were carried out, this helps in forensic sciences.