超级计算机在序列分析和基因组注释中的应用

Gerard G. Dumancas
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引用次数: 1

摘要

在现代科学时代,生物信息学在揭示各种疾病的潜在遗传原因方面发挥着关键作用。当今生物信息学的两个最重要的领域,序列分析和基因组注释,对于成功识别导致不同疾病的基因至关重要。这两个新兴领域利用高度密集的数学计算来执行这些过程。超级计算机以高效和节省时间的方式促进这种计算,生成高吞吐量的图像。因此,本章深入讨论了超级计算机在序列分析和基因组注释领域的应用。本章还展示了上述两个生物信息学领域所使用的复杂软件和算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Applications of Supercomputers in Sequence Analysis and Genome Annotation
In the modern era of science, bioinformatics play a critical role in unraveling the potential genetic causes of various diseases. Two of the most important areas of bioinformatics today, sequence analysis and genome annotation, are essential for the success of identifying the genes responsible for different diseases. These two emerging areas utilize highly intensive mathematical calculations in order to carry out the processes. Supercomputers facilitate such calculations in an efficient and time-saving manner generating high-throughput images. Thus, this chapter thoroughly discusses the applications of supercomputers in the areas of sequence analysis and genome annotation. This chapter also showcases sophisticated software and algorithms utilized by the two mentioned areas of bioinformatics.
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