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Parallel Algorithms in Molecular Biology

机译:分子生物学中的并行算法

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摘要

Scalable parallel computer archietectures provide the computational performance needed for advanced computing problems in molecular biology. Many scientific challenges in molecular biology have associated with them a computational requirement that must be solved before scientific progress can be made. We have developed a number of parallel algorothms and techniques useful in determining biological structure and function. Two example applications are the alignment of multiple DNA and protein sequences using speculative computation and the calculation of the solvent accessible surface area of proteins used to predict the three-dimensional conformation of these molecules from their primary structure. Timing results demonstrate substantial performance improvements with parallel implementations compared with conventional sequential systems. As the developed methods allow molecular biologists to peform computational tasks that would not otherwise be possible, we continue to develop parallel algorithms useful to this important scientific field.
机译:可扩展的并行计算机体系结构提供了分子生物学中高级计算问题所需的计算性能。分子生物学中的许多科学挑战与之相关联的计算要求,在取得科学进步之前必须解决这些计算要求。我们已经开发了许多并行的算法和技术,可用于确定生物学结构和功能。两个示例应用是使用推测性计算对多个DNA和蛋白质序列进行比对,以及对蛋白质的溶剂可及表面积进行计算,该蛋白质可用于根据其一级结构预测这些分子的三维构象。时序结果表明,与传统的顺序系统相比,并行实现的性能大大提高。由于已开发的方法允许分子生物学家执行原本不可能完成的计算任务,因此我们将继续开发对这一重要科学领域有用的并行算法。

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