Multiple Sequence Alignment in Bioinformatics.

This paper proposes few genetic operators to obtain better alignments of multiple molecular sequences. All the proposed operators in the method have been implemented and validated within a self developed software tool which allows the user to select the various genetic operators for crossover, mutation, fitness calculation, population initialization. It guarantees the next generation of populations with better fitness value. Improvement in the overall population fitness is also calculated and evaluated. Survival of the fittest policy is followed to arrive at a better fitness in following generations. These fitness values then help to find heart and diabetes problems for that chromosome. Observations based on variable parameters have been recorded, analyzed & presented in the form of results. Results were also compared with few standard existing online tools to study the feasibility of the proposed operators.