Gene Identification Problem and Its Algorithm Implementation

Based on the information provided, we can conclude that Problem A of the 2013 Graduate Mathematical Modeling Contest involved a gene identification problem requiring the development of corresponding algorithmic programs for solution. This problem likely involved aspects such as gene sequence analysis and pattern matching. The implementation would typically require algorithms for sequence alignment, feature extraction, and classification methods. Key technical approaches might include dynamic programming for sequence comparison, statistical models for gene prediction, or machine learning techniques for pattern recognition. By implementing this program, researchers can better understand the principles and methods of gene identification, providing valuable references for related studies. The program implementation would demonstrate practical applications of bioinformatics algorithms in solving real-world genetic analysis problems. We hope this information meets your requirements.