KeBaB:k-merMEMs

Nathaniel K Brown1, Lore Depuydt2, Mohsen Zakeri1

  • 1Johns Hopkins University, Baltimore, USA.

International Symposium on String Processing and Information Retrieval : SPIRE ... : proceedings. SPIRE (Symposium)
|December 15, 2025
PubMed
概括

使用Bloom过器的新型k-mer过方法KeBaB加速了基因组学中长最大精确匹配 (MEM) 的搜索. 这种技术通过有效过输入数据来增强序列对齐和元基因组分类.

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