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Optimizing Sequence Alignment for Heterogeneous Computing

#algorithms #genomics #parallel-computing #optimization

Algorithm optimization for genomic data processing.

Develop an optimized algorithm for multiple sequence alignment (MSA) suitable for execution on a heterogeneous GPU cluster. Your solution should address the memory bandwidth limitations of the Smith-Waterman algorithm when processing long reads. Discuss the trade-offs between accuracy in the scoring matrix and computational throughput, and propose a heuristic for dynamic load balancing across nodes.