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Explore computational approaches for analyzing genome sequences in this lecture that covers fundamental algorithms and methodologies used in genomic data processing. Learn about sequence alignment techniques, pattern recognition methods, and statistical approaches for identifying genes and regulatory elements within DNA sequences. Discover how computational tools handle large-scale genomic datasets and examine the mathematical foundations underlying genome assembly and annotation processes. Understand the challenges of processing raw sequencing data and gain insights into the algorithms that enable researchers to extract meaningful biological information from complex genetic sequences.
