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Updated: Jun 26, 2025

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计算原始eBWT的速度更快,更简单,并且使用更少的内存

Christina Boucher1, Davide Cenzato2, Zsuzsanna Lipták2

  • 1Department of Computer and Information Science and Engineering, University of Florida, Gainesville, FL, United States.

International Symposium on String Processing and Information Retrieval : SPIRE ... : proceedings. SPIRE (Symposium)
|May 14, 2024
PubMed
概括

这项研究引入了一个新的线性时间算法,用于扩展的Burrows-Wheeler转换 (eBWT),这对于基因组序列分析至关重要. 这种新的方法pfpebwt显著加快了对大型基因组集合的eBWT的构建速度,提高了效率和内存使用率.

关键词:
数据压缩数据的压缩.数据结构的设计和分析和数据结构的分析.模式匹配的匹配模式这就是SAIS算法.计算理论的计算理论扩大了BWT的使用范围.欧米茄-顺序的顺序.没有前的解析.

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