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Problem statement: String matching algorithm had been an essential means for searching&#13; biological sequence database. With the constant expansion in scientific data such as DNA and Protein;&#13; the development of enhanced algorithms have even become more critical as the major concern had&#13; always been how to raise the performances of these search algorithms to meet challenges of scientific&#13; information. Approach: Therefore a new hybrid algorithm comprising Berry Ravindran (BR) and&#13; Alpha Skip Search (ASS) is presented. The concept is based on BR shift function and combines with&#13; ASS to ensure improved performance. Results: The results obtained in percentages from the proposed&#13; hybrid algorithm displayed superior results in terms of number of attempts and number of character&#13; comparisons than the original algorithms when various types of data namely DNA, Protein and English&#13; text are applied to appraise the hybrid performances. The enhancement of the proposed hybrid&#13; algorithm performs better at 71%, 60% and 63% when compared to Berry-Ravindran in DNA, Protein&#13; and English text correspondingly. Moreover the rate of enhancement over Alpha Skip Search&#13; algorithm in DNA, Protein and English text are 48%, 28% and 36% respectively. Conclusion: The&#13; new proposed hybrid algorithm is relevant for searching biological science sequence database and also&#13; other string search systems

A Fast Hybrid Algorithm Approach for the Exact String Matching Problem Via Berry Ravindran and Alpha Skip Search Algorithms