This project explores algorithms to analyze genetic patterns and identify hidden messages within DNA sequences. By leveraging computational techniques, the project delves into identifying DNA replication origins, analyzing motifs, and uncovering genomic insights from large DNA datasets.
- DNA Sequence Analysis: Algorithms to process and analyze large DNA strings.
- Pattern Matching: Detect hidden motifs and repetitive patterns in DNA.
- Replication Origin Detection: Explore and identify regions where DNA replication begins.
- Efficient Algorithms: Optimized solutions for analyzing genomic data.
The following computational approaches are implemented:
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String Matching Algorithms
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Motif Finding
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Divide and Conquer Methods
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DNA Replication Origin Detection